AS1.19 | The atmospheric water cycle: processes, dynamics, isotopic tracers, and characteristics
EDI
The atmospheric water cycle: processes, dynamics, isotopic tracers, and characteristics
Co-organized by CL4
Convener: Iris ThurnherrECSECS | Co-conveners: Seung Hun Baek, Camilla F. BrunelloECSECS, Bo DongECSECS, Marina Duetsch, Alexandre M. Ramos, Harald Sodemann
Orals
| Thu, 18 Apr, 14:00–15:45 (CEST)
 
Room 0.11/12
Posters on site
| Attendance Fri, 19 Apr, 16:15–18:00 (CEST) | Display Fri, 19 Apr, 14:00–18:00
 
Hall X5
Posters virtual
| Attendance Fri, 19 Apr, 14:00–15:45 (CEST) | Display Fri, 19 Apr, 08:30–18:00
 
vHall X5
Orals |
Thu, 14:00
Fri, 16:15
Fri, 14:00
The atmospheric water cycle is a key component of the climate system, and links across many scientific disciplines. Processes interact with dynamics at different scales throughout the atmospheric life cycle of water vapour from evaporation to precipitation. This session sets the focus on understanding the interaction between processes, their dynamics and characteristics of the water cycle, covering the entire atmospheric life cycle from evaporation, atmospheric moisture transport, to cloud microphysics and precipitation processes as observed from in-situ and remote sensing instrumentation, recorded by paleo-/climate archives, and as simulated by models for past, present and future climates.

We invite studies

* focusing on the understanding and impacts of features of the atmospheric water cycle related to weather systems, with a special focus on the role of Atmospheric Rivers;

* investigating the large-scale drivers behind the past, ongoing and future variability and trends within the atmospheric water cycle, from field campaigns (YOPP, MOSAiC, (AC)3, ISLAS, EUREC4A etc.), long-term observations, reanalysis data, regional to global model simulations, or (isotopic) data assimilation;

* reconstructing past hydroclimates based on paleo-proxy records from archives such as ice cores, lake sediments, tree-rings or speleothems;

* applying methods such as tagged water tracers and Lagrangian moisture source diagnostics to identify source-sink relationships and to evaluate model simulations of the water cycle;

* using the isotopic fingerprint of atmospheric processes and weather systems to obtain new mechanistic insights into changes in the water cycle;

* describing the global and regional state of the atmospheric water cycle (e.g. monsoon systems) with characteristics such as the recycling ratio, life time of water vapour, and moisture transport properties.

We particularly encourage contributions linking across neighbouring disciplines, such as atmospheric science, climate, paleoclimate, glaciology, and hydrology.

Orals: Thu, 18 Apr | Room 0.11/12

Chairpersons: Harald Sodemann, Iris Thurnherr, Marina Duetsch
14:00–14:05
Atmospheric rivers
14:05–14:15
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EGU24-11684
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Virtual presentation
Shakeel Asharaf, Bin Guan, and Duane Waliser

This presentation introduces the ROTated Atmospheric river coordinaTE (ROTATE) system – a storm-centric coordinate system designed specifically for analyzing long, narrow filamentary regions of intense water vapor transport in the lower atmosphere or so-called atmospheric rivers (ARs). It effectively preserves key AR signals in the time mean that may be lost or obscured in simple averaging due to diverse AR orientations and shapes. We used ROTATE to look at crucial characteristics of atmospheric rivers such as how wet the air is, how fast the wind blows, how much water vapor is being transported, and how much rain falls. We found more apparent AR patterns with ROTATE compared to the conventional non-rotated AR centroid-based compositing approach. The new method also helps us see finer details in rain distributions over land versus over the oceans. It is further apparent that the ROTATE system more distinctly delineates the finer details in precipitation distributions for landfalling and oceanic ARs. Overall, the ROTATE system has the potential to serve as a valuable tool for better comparing and understanding the characteristics, processes, and impacts of ARs across different regions. Details about the analysis and challenges associated with the current results will be discussed in this presentation.

How to cite: Asharaf, S., Guan, B., and Waliser, D.: A New Lens on Atmospheric Rivers, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11684, https://doi.org/10.5194/egusphere-egu24-11684, 2024.

14:15–14:25
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EGU24-3622
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ECS
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On-site presentation
Christoph Renkl, Hyodae Seo, Élise Beaudin, Anthony Wilson, Art Miller, and Emanuele Di Lorenzo

The climate along the US West Coast is profoundly affected by the extratropical ocean and air-sea interaction near the coast, influencing moisture transport and valuable precipitation that play an important role in agricultural and water resource management efforts. On a basin scale, seasonal to interannual anomalies in the atmospheric circulation can create persistent upper-ocean temperature anomalies known as marine heatwaves (MHWs). These anomalous SST conditions have direct impact on air-sea fluxes, thereby influencing diabatic processes associated with synoptic-scale weather patterns, such as atmospheric rivers (ARs). Given the heat and moisture pickup by the ARs from the oceans, these multi-scale MHW-AR interactions may also represent a potential mechanism for dissipation of MHWs. This study examines diabatic multi-scale coupled air-sea interaction processes between persistent MHWs and synoptic-scale ARs, and evaluate their downstream effects on the coastal and inland climate.

Here, we present a comprehensive analysis based on observations and high-resolution, large-ensemble regional coupled model simulations targeting a series of landfalling ARs that interacted with warm SST anomalies during the Northeast Pacific MHW event in winter 2014/2015. Sensitivity simulations are conducted where various aspects of the observed MHW feature are removed from the ocean component of the coupled model to quantify the diabatic modification of the AR moisture and energy budgets. Our results show that MHWs exert diabatic forcing of the lower troposphere via enhanced latent heat flux from the ocean to the atmosphere and an associated increase in evaporation. This ultimately represents a nontrivial moisture source leading to an amplification of ARs indicated by a robust increase in rainfall intensity. Furthermore, the model results suggest noticeable shifts in the precise landfalling locations of the AR, the statistical significance of which is being assessed via ongoing ensemble simulations. The implications of MHW dissipation arising from the diabatic interaction between ARs and MHW will be discussed.

How to cite: Renkl, C., Seo, H., Beaudin, É., Wilson, A., Miller, A., and Di Lorenzo, E.: Diabatic Amplification of Atmospheric River Intensity by Marine Heatwaves: Multi-Scale Air-Sea Interaction and Implications for Marine Heatwave Dissipation, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-3622, https://doi.org/10.5194/egusphere-egu24-3622, 2024.

14:25–14:35
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EGU24-1442
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ECS
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On-site presentation
Shuyu Wang, Xiaohui Ma, Shenghui Zhou, Lixin Wu, Hong Wang, Zhili Tang, Guangzhi Xu, Zhao Jing, Zhaohui Chen, and Bolan Gan

Extreme atmospheric rivers (EARs) are responsible for most of the severe precipitation and disastrous flooding along the coastal regions in midlatitudes. However, the current non-eddy-resolving climate models severely underestimate (~50%) EARs, casting significant uncertainties on their future projections. Here, using an unprecedented set of eddy-resolving high-resolution simulations from the Community Earth System Model simulations, we show that the models’ ability of simulating EARs is significantly improved (despite a slight overestimate of ~10%) and the EARs are projected to increase almost linearly with temperature warming. Under the Representative Concentration Pathway 8.5 warming scenario, there will be a global doubling or more of the occurrence, integrated water vapor transport and precipitation associated with EARs, and a more concentrated tripling for the landfalling EARs, by the end of the 21st century. We further demonstrate that the coupling relationship between EARs and storms will be reduced in a warming climate, potentially influencing the predictability of future EARs.

How to cite: Wang, S., Ma, X., Zhou, S., Wu, L., Wang, H., Tang, Z., Xu, G., Jing, Z., Chen, Z., and Gan, B.: Extreme atmospheric rivers in a warming climate, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-1442, https://doi.org/10.5194/egusphere-egu24-1442, 2024.

Moisture tagging
14:35–14:45
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EGU24-12550
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ECS
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On-site presentation
Alfredo Crespo-Otero, Damian Insua-Costa, and Gonzalo Míguez-Macho

Global warming is increasingly aggravating hydro-climate extremes, such as floods and droughts. In this context it is essential to understand the complex dynamics of the atmospheric branch of the water cycle, including the link between evaporation and precipitation. For this reason, many studies have investigated the origin of the moisture that feeds precipitation, which has led to a better understanding of atmospheric water transport. However, the lack of observations has prevented a direct validation of the different moisture tracking tools used for this purpose, and it is common to find large discrepancies between the results they provide.

To fill this gap, we compare two different Lagrangian methodologies for moisture tracking based on the FLEXible PARTicle dispersion model (FLEXPART) against the Eulerian “Water Vapor Tracers” technique based on WRF (WRF-WVTs). Considering the results of WRF-WVTs as “ground truth”, we explore the discrepancies between the Eulerian and Lagrangian approaches for five precipitation events associated with ARs and, based on that, propose some physics-based adjustments to the Lagrangian tools. Our results show that Lagrangian methodologies using evaporation data instead of specific humidity data provide results much closer to those of WRF-WVTs. Specifically, they reduce large biases that underestimate remote sources (such as tropical ones), while overestimating local contributions. When we introduce our physical corrections, both methods improve remarkably, which means that these biases are strongly reduced and the results provided by the different techniques reach a consensus.

How to cite: Crespo-Otero, A., Insua-Costa, D., and Míguez-Macho, G.: Seeking consensus between Eulerian and Lagrangian moisture tracking methods for precipitation origin analysis in Atmospheric Rivers, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12550, https://doi.org/10.5194/egusphere-egu24-12550, 2024.

14:45–14:55
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EGU24-18507
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ECS
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On-site presentation
Jianhui Wei, Patrick Olschewski, Qi Sun, Yu Li, Patrick Laux, and Harald Kunstmann

Global warming is accelerating the global water cycle. On a short temporal scale, such acceleration may modify weather regimes and, thus, potentially increase the number of compound weather and climate events. Among them, tropical cyclones can bring destructive high winds, torrential rain, storm surges and occasionally tornadoes in association with a variety of hazards, especially in coastal urban regions. In this study, we apply a newly developed WRF-age model, i.e., the Weather Research and Forecasting model enhanced with an age-weighted water tracking approach, to a coastal urban region in Southeast China. The source and transport of atmospheric water vapor in one Northwest Pacific Ocean cyclone, here, Hato in August 2017, are exemplarily examined by means of tracking oceanic evaporation. Two indices, i.e., the contribution ratio and the atmospheric water residence time, are used to better understand how much and how fast the oceanic evaporation contributes to the development of tropical cyclone Hato. Our simulation results show that, within 24 hours, the contribution ratio of the tagged oceanic evaporation to the total water vapor researches up to around 25%. In addition, the spatial pattern of the atmospheric water residence time shows that the oceanic evaporation below the rainbands of Hato (around 9 hours) fuels faster in its development than the oceanic evaporation from the surrounding region (15 hours). These findings emphasize the important role of oceanic evaporation to tropical cyclone development. Our study demonstrates that the WRF-age model can be applied to quantify the acceleration of tropical cyclone development under global warming.

How to cite: Wei, J., Olschewski, P., Sun, Q., Li, Y., Laux, P., and Kunstmann, H.: Quantifying the contribution of oceanic evaporation to tropical cyclone development with WRF-age , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18507, https://doi.org/10.5194/egusphere-egu24-18507, 2024.

14:55–15:05
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EGU24-16154
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ECS
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On-site presentation
Svetlana Botsyun, Stephan Pfahl, Franziska Aemisegger, Leonie Villiger, and Ingo Kirchner

The atmospheric hydrologic cycle and the formation of shallow cumulus clouds in the marine trade-wind region are important for the Earth’s radiative budget and climate sensitivity. Furthermore, the understanding of air mixing and transport processes in the atmosphere is crucial for interpreting measurements and records of stable water isotopes. However, the representation of these processes in climate models is subject to large uncertainties. Here we investigate moisture transport and its impact on the isotopic signature in the North Atlantic trade-wind region. We use the regional COSMO model equipped with stable water isotopes and passive water tracers to quantify the contributions of the different evaporation sources to moisture contents and their isotope signals in the free troposphere of the western tropical Atlantic. For the time period of the EUREC4A field campaign (January-February 2020), convection-resolving high-resolution (5 km) nudged simulations are performed, allowing a comparison with field data. Passive tracers (water tagging) are combined with prognostic water isotope simulations to determine the specific isotopic fingerprints of the diagnosed moisture pathways. In January and February 2020, the tropical Atlantic region is characterized by alternating large-scale circulation regimes with distinct isotopic signatures. Humid conditions in the middle troposphere (300-650 hPa) over the island of Barbados are related to easterly and south-easterly moisture transport, while dry conditions correspond to extratropical transport from the north and west. Our modeling approach, together with the unprecedented observational data from the EUREC4A campaign, offers exciting new opportunities to evaluate and ultimately improve the representation of the tropical water cycle in climate models.

How to cite: Botsyun, S., Pfahl, S., Aemisegger, F., Villiger, L., and Kirchner, I.: Unraveling the moisture transport in the North Atlantic trade-wind region using passive tracers and stable water isotopes, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-16154, https://doi.org/10.5194/egusphere-egu24-16154, 2024.

Stable water isotopes
15:05–15:15
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EGU24-6878
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ECS
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solicited
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On-site presentation
Sonja Wahl, Benjamin Walter, Hans Christian Steen-Larsen, Franziska Aemisegger, Laura J. Dietrich, and Michael Lehning

Cryospheric processes and interactions between the cryosphere and other Earth system components are complex, host important climate feedbacks and are often difficult to measure. Yet their understanding is crucial for predicting the evolution of the cryosphere in a changing climate. Stable water isotopes are natural tracers of phase change processes within the hydrological cycle. The variability of the individual and combined isotope species offer a way to constrain environmental climatic conditions during phase change processes. Thus, they are a prime tool to investigate air-snow interactions, which are at the core of one of the most uncertain but eminently important climate feedbacks. In polar settings these phase change processes are predominantly vapor deposition and snow or ice sublimation. However, the principle of isotopic fractionation during sublimation has been controversially discussed and the usefulness of tracing stable water isotopes in cryospheric processes is thus debated.
Here we demonstrate through field observations and laboratory experiments that air-snow humidity exchange leaves an isotopic fingerprint in the snow isotopic composition. We present in-situ data from the Greenland Ice Sheet and new results from cold-laboratory wind tunnel experiments. The measurements comprise isotopic signatures of snow, vapor and of the humidity flux itself. We show that snow sublimation is a fractionating process and outline how this information can be used to improve cryospheric process understanding. Specifically, we investigate the process of drifting and blowing snow by observing the evolution of both vapor and snow isotopic composition during cold-laboratory wind tunnel experiments. We document the existence of hitherto unobserved airborne snow metamorphism; a process observable on the macro-scale only through the lens of stable water isotopes. Based on the combined observations of in-situ surface humidity fluxes and wind tunnel experiments we discuss a physical explanation for the observed isotopic fractionation during snow sublimation. These insights and the data set will be the basis for determining the fractionation factors associated with airborne snow metamorphism. Our results have important implications for the interpretation of stable water isotope signals from snow and ice cores and challenge the translation of the second-order parameter d-excess signal in polar regions as moisture source signal.

How to cite: Wahl, S., Walter, B., Steen-Larsen, H. C., Aemisegger, F., Dietrich, L. J., and Lehning, M.: Using stable water isotopes to improve our understanding of snow processes across scales, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6878, https://doi.org/10.5194/egusphere-egu24-6878, 2024.

15:15–15:25
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EGU24-14966
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On-site presentation
Christophe Leroy-Dos Santos, Elise Fourré, Cécile Agosta, Mathieu Casado, Alexandre Cauquoin, Martin Werner, Simon Alexander, Marshall Lewis, Vincent Favier, Tessa Vance, Derryn Harvie, Olivier Cattani, Benedicte Minster, Frédéric Prié, Olivier Jossoud, Leila Petit, and Amaëlle Landais

In a context of global warming, it is key to estimate the evolution of the atmospheric hydrological cycle and temperature in the polar regions. Since records are only available from satellite data for the last 40 years, one of the best ways to access longer records is to use climate proxies in firn cores. The water isotopic composition of firn cores is widely used to reconstruct past temperature variations. However, both temperature and atmospheric water cycle (origin of the precipitation, deposition and post-deposition effects) influence the isotopic composition of snow. We present a 2-year long time series of vapor and precipitation isotopic composition measurement at Dumont D’Urville (DDU), a coastal station in Adélie Land. This unique data set is first used to study the link between hydrological cycle and weather regimes at DDU. It is found that both continental and oceanic air masses impact the signal. Then, this record is used to evaluate the Global Climate Model ECHAM6-wiso equipped with water stable isotopes which is able to reproduce the observed isotopic signal. This result permits further use of ECHAM6-wiso to interpret water isotopic profiles on short firn cores. Using this methodology, we evaluate ECHAM6-wiso atmospheric outputs at two other East Antarctic coastal sites: Davis  and Neumayer stations.

How to cite: Leroy-Dos Santos, C., Fourré, E., Agosta, C., Casado, M., Cauquoin, A., Werner, M., Alexander, S., Lewis, M., Favier, V., Vance, T., Harvie, D., Cattani, O., Minster, B., Prié, F., Jossoud, O., Petit, L., and Landais, A.: From atmospheric water isotopes measurement to firn core interpretation in coastal sites: A method for isotope-enabled atmospheric models in East Antarctica, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14966, https://doi.org/10.5194/egusphere-egu24-14966, 2024.

15:25–15:35
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EGU24-17899
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ECS
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On-site presentation
Harsh Oza, Ludvig Löwemark, George Kontsevich, Akkaneewut Jirapinyakul, Sakonvan Chawchai, Helmut Duerrast, Mao-Chang Liang, Midhun Madhavan, and Chung-Ho Wang

The Malaya Peninsula, uniquely positioned between the South China Sea to the east and the Indian Ocean to the west presents a unique geographic vantage point for the study of ocean-ocean and ocean-atmosphere-land interactions, particularly in the context of climate change. Its proximity to the Indo-Pacific Warm Pool (IPWP) makes the region a critical nexus where global temperature rise intersects with significant ocean-atmosphere processes, such as Hadley and Walker circulations, El Niño-Southern Oscillation (ENSO), Indian Ocean Dipole (IOD), and Madden–Julian Oscillation (MJO). These processes and their teleconnections play a pivotal role in shaping the regional climate, profoundly influencing rainfall patterns and freshwater availability in the peninsula. 

In our research, we conducted a decade-long analysis of oxygen and hydrogen isotopes in daily rainfall samples collected from Krabi, Thailand, a region situated in the northern Malaya Peninsula. Krabi faces the Andaman Sea and is characterized by a tropical monsoon climate. The region's climate is predominantly influenced by the North-South migration of the Intertropical Convergence Zone (ITCZ), which governs the patterns of summer and winter monsoonal rainfall. The diverse topography of Krabi plays a critical role in local weather patterns, potentially intensifying the complexity of the region's dual monsoon system. The time series analysis of isotopic data brings to light three distinct patterns superimposed over the daily variability. There's a clear seasonal cycle, primarily driven by changes in moisture sources, indicating shifts in atmospheric moisture transport with the seasons. Additionally, multi-year patterns suggest the influence of complex ocean-atmospheric processes, likely reflecting teleconnections between the Western Pacific and Indian Oceans. Intriguingly, we also observed a long-term trend of isotopic depletion without corresponding changes in rainfall volume, hinting at the potential impacts of ocean warming and broader climate change.

This study underscores the importance of understanding the nuanced interplay of land, ocean, and atmospheric systems in regional rainfall dynamics. It has significant implications for regional climate models and paleoclimatic research. It highlights the sensitivity of the Malaya Peninsula's climate to both local topographical features and global oceanic phenomena, offering crucial insights into the regional responses to ongoing global climatic changes.

How to cite: Oza, H., Löwemark, L., Kontsevich, G., Jirapinyakul, A., Chawchai, S., Duerrast, H., Liang, M.-C., Madhavan, M., and Wang, C.-H.: Decade-Long Isotopic Analysis (18O & 2H) of Daily Precipitation in the Malaya Peninsula: Understanding the Complex Hydrometeorology, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-17899, https://doi.org/10.5194/egusphere-egu24-17899, 2024.

15:35–15:45
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EGU24-3270
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ECS
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solicited
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On-site presentation
Georgina Falster, Bronwen Konecky, Sloan Coats, and Samantha Stevenson

The Pacific Walker Circulation (PWC) has a major influence on weather and climate worldwide. But our understanding of 1) its response to external forcings; and 2) its internal variability across timescales remain unclear. This is in part due to the length of the observational record, which is too short to disentangle forced responses from internal variability. 

Here we assess the internal variability of the PWC as well as its response to the two largest external forcings of the Common Era: volcanic eruptions and anthropogenic forcing. We do this using a new annually-resolved, multi-method, palaeoproxy-derived PWC reconstruction ensemble spanning 1200-2000. The reconstruction is derived from 59 palaeoclimate proxy records, mostly from the Iso2k database of water isotope proxy records (Konecky et al., 2020). The basis for the reconstruction is previous work by Falster et al. (2021), demonstrating that global water isotope variability has a strong mechanistic link with the PWC via its major influence on the global water cycle. The PWC reconstruction ensemble comprises 4800 members that sample uncertainty from observational data, reconstruction method, and record chronologies. 

We identify a significant PWC weakening in the 1-3 years following large volcanic eruptions, similar to the response seen in some climate models. However, we find no significant industrial-era (1850-2000) PWC trend relative to the preceding 650 years, which contrasts the PWC weakening simulated by most climate models. In fact, the strength of the PWC is not correlated with global mean temperature across timescales. We also find that the 1992-2011 PWC strengthening—previously attributed either to volcanic or anthropogenic aerosol forcing—was indeed anomalous, but not unprecedented as compared to the past 800 years. Hence it may have occurred due to decadal internal variability. The one place we did identify an industrial-era PWC change is in the power spectrum, where a post-1850 shift to lower-frequency variability suggests a subtle anthropogenic influence. 

References:

Konecky, B. L., McKay, N. P., Churakova (Sidorova), O. V., Comas-Bru, L., Dassié, E. P., DeLong, K. L., Falster, G. M., Fischer, M. J., Jones, M. D., Jonkers, L., Kaufman, D. S., Leduc, G., Managave, S. R., Martrat, B., Opel, T., Orsi, A. J., Partin, J. W., Sayani, H. R., Thomas, E. K., Thompson, D. M., Tyler, J. J., Abram, N. J., Atwood, A. R., Cartapanis, O., Conroy, J. L., Curran, M. A., Dee, S. G., Deininger, M., Divine, D. V., Kern, Z., Porter, T. J., Stevenson, S. L., von Gunten, L., and Iso2k Project Members: The Iso2k database: a global compilation of paleo-δ18O and δ2H records to aid understanding of Common Era climate, Earth Syst. Sci. Data, 12, 2261–2288, 2020.

Falster, G., B. Konecky, M. Madhavan, S. Stevenson, and S. Coats: Imprint of the Pacific Walker Circulation in Global Precipitation δ18O. J. Climate, 34, 8579–8597, 2021.

How to cite: Falster, G., Konecky, B., Coats, S., and Stevenson, S.: New insights into the Pacific Walker Circulation from an 800-year-long water isotope-based reconstruction ensemble , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-3270, https://doi.org/10.5194/egusphere-egu24-3270, 2024.

Posters on site: Fri, 19 Apr, 16:15–18:00 | Hall X5

Display time: Fri, 19 Apr, 14:00–Fri, 19 Apr, 18:00
Chairperson: Marina Duetsch
Stable water isotopes as moisture tracers
X5.1
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EGU24-6642
Investigating the hydrological cycle of a subtropical mountainous island using water isotopes
(withdrawn after no-show)
Giuseppe Torri, Alison Nugent, and Brian Popp
X5.2
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EGU24-7663
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ECS
Shaakir Shabir Dar, Sophia Macarewich, Eric Klein, and Jeffrey Welker

A 25-year record from the United States Network for Isotopes in Precipitation (USNIP) using data from seventy-three sampling sites reveals the dynamic role of moisture sources and storm tracks in controlling the precipitation geochemistry at a continental scale. Our study provides a fresh perspective on processes governing the water isotope cycle beyond the classic role of temperature. We report that Climate Oscillations (COs) combine to influence synoptic climatology and atmospheric transport patterns, thereby driving spatiotemporal distribution of precipitation 18O, 2H and d-excess values. The relationship between the individual COs and the isotopic composition of precipitation is spatially, temporally, and geographically inconsistent with varying time periods of linear (positive/negative), non-linear, or no coherence. The interactions between COs drive variations in isotope fractionation associated with evaporation (moisture source dynamics) and transport (storm track pathways and degree of rainout) of moisture. These are mirrored in the spatiotemporal precipitation isotope patterns across contiguous USA and supported by airmass trajectory analysis. We use the USNIP observational dataset to validate and test process representation in the variable-resolution isotope-enabled Community Earth System Model-version 2 (VR-iCESM2) with regional grid refinement to ~12.5 km over the contiguous US. To explore the relative influences of origin, transport, and condensation of water vapor on precipitation isotope patterns, we use process-oriented water tags in the VR-iCESM2 that track physical properties at the evaporation source locations, Rayleigh rainout effect, and precipitation condensation temperature. We find the model prediction to be deficient in coastal regions which improves in the continental interior, but ‘nudging’ the model with atmospheric thermodynamic properties and grid refinement leads to an overall enhancement in model performance relative to low resolution (~100 km) iCESM simulations. Evaluating and improving water cycling processes in climate models using spatially dense, long-term observational datasets of water isotopes, such as USNIP, will improve interpretations of paleoclimate records and predictions of future changes.

How to cite: Dar, S. S., Macarewich, S., Klein, E., and Welker, J.: 25 years of precipitation isotopic composition across the USA: Assessment of non-linearities associated with moisture source dynamics and storm track variations in the Community Earth System Model, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7663, https://doi.org/10.5194/egusphere-egu24-7663, 2024.

X5.3
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EGU24-963
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ECS
Ajay Ajay and Prasanta Sanyal

One of the challenges in climate change studies is understanding the moisture source, oceanic or terrestrial, responsible for the recent increase in global land precipitation evident by ERA-5 reanalysis data.  To explain the moisture source responsible for increase in the land precipitation we have used the d-excess value of precipitation which distinctly inherits the signature of various processes in the hydrological cycle and has been widely used for the validation of general circulation models. We created a global monthly time series of d-excess value (1978-2021) using precipitation isotope data (n= 62,665) from 913 sites. Since 1996, the enigmatic surge in the d-excess value aligns with the rise in the global land precipitation which cannot be explained by the already known moisture source of the global water cycle. Such a huge spike in d-exces value suggests an increase in contribution from the terrestrial moisture, especially from the evaporation of irrigated groundwater, a component which was not considered in the global hydrologic cycle. To feed the growing population, introduction of multiple cropping seasons and a decrease in the frequency of global land precipitation led to an increase in the groundwater-dependent agricultural practice. Previous studies have shown that the extraction of groundwater for irrigation is so huge and significant that it has been held responsible for global sea level rise  and drift of Earth’s rotation axis. In Spite of that, the remotely sensed data and land surface models partition the moisture sources of water cycle in the various components; such as transpiration, open water evaporation,  canopy interception, bare soil evaporation and  snow sublimation, however, never considered the coupling of groundwater with atmosphere. Therefore, to understand the global hydrological cycle, the moisture and energy exchange between groundwater and atmosphere, via evaporation of irrigated water, should be considered. Here, the enigmatic rise in d-excess value, equivalent to glacial-interglacial scale variation, signifies human domination in the global hydrological cycle.

 

 

How to cite: Ajay, A. and Sanyal, P.: Coupling of Groundwater with Atmosphere: A New Anthropogenic Component in the Global Hydrological Cycle, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-963, https://doi.org/10.5194/egusphere-egu24-963, 2024.

X5.4
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EGU24-19539
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ECS
Niels Dutrievoz, Cécile Agosta, Camille Risi, Étienne Vignon, Sébastien Nguyen, Amaelle Landais, Elise Fourré, Christophe Leroy-Dos Santos, Mathieu Casado, Inès Ollivier, Jean Jouzel, Didier Roche, Benedicte Minster, and Frédéric Prié

Water-stable isotopic compositions of snow or ice (here δ18O and δD) represent the main way to reconstruct past temperature in Antarctica, and one way to interpret these isotopic signals is through the use of isotope-enabled atmospheric general circulation models. In this study, we combine isotopic observations from surface snow samples, daily precipitation and water vapour to evaluate the LMDZ6iso model in Antarctica from climatic to seasonal and sub-daily time scale. Time-averaged δ18O in precipitation from LMDZ6iso for the period 1980-2022 is in excellent agreement with δ18O of surface snow samples across the continent, but there is a strong disagreement for d-excess at cold temperature sites. For sub-annual time scale analyses, we focus on two sites in East Antarctica: the coastal station Dumont d'Urville and the continental station Concordia. The model accurately reproduces the seasonal isotopic cycle of daily precipitation at both stations, with better performances at Concordia. Moving from statistical evaluation to process analyses, we use water vapour isotopes to study water exchanges in the boundary layer. LMDZ6iso performs well in representing the observed diurnal isotope cycle at both sites. However, the model simulates a larger vapour δ18O depletion than observed during the night at Concordia. We analyse the contribution of each physical process affecting isotope concentrations in LMDZ6iso to show what controls the vapour isotope signal. At Concordia, surface sublimation during the day is the main driver of the diurnal cycle of vapour isotopes, whereas at Dumont d'Urville, daily isotope variations are driven by surface sublimation and turbulence during the day and by air advection from the katabatic flow during the night.

 

How to cite: Dutrievoz, N., Agosta, C., Risi, C., Vignon, É., Nguyen, S., Landais, A., Fourré, E., Leroy-Dos Santos, C., Casado, M., Ollivier, I., Jouzel, J., Roche, D., Minster, B., and Prié, F.: Antarctic water stable isotopes in the global atmospheric model LMDZ6: from climatology to boundary layer processes, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-19539, https://doi.org/10.5194/egusphere-egu24-19539, 2024.

X5.5
|
EGU24-15660
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ECS
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Dániel Erdélyi, Zoltán Kern, István Gábor Hatvani, Polona Vreča, Klara Žagar, Frederic Huneau, Aurel Perșoiu, Markus Leuenberger, Sonja Lojen, Oliver Kracht, Astrid Harjung, Pekka Rossi, Kaisa-Riikka Mustonen, and Jeffrey Welker

Natural abundance variations in stable isotope ratios of hydrogen and oxygen are important environmental tracers with a significant range of applications  (e.g., the exploration of the present water cycle, paleoclimate reconstructions, ecology, and food authenticity). These applications and research themes are often based on spatially explicit predictions of precipitation isotopic variations obtained from point sample collections and measurements through various interpolation techniques. The derivation of spatially continuous and georeferenced isotope databases, known as isotopic landscapes (isoscapes), has been considered most effective through regression kriging for precipitation beginning in the early 2000s. However, the number of interpolation methods used in geostatistics has increased rapidly in recent decades, with new machine learning algorithms becoming increasingly important and proving more successful than conventional methods for certain isotopic parameters. In the present research we present a monthly 10 x 10 km European isoscape based on state-of-the art hybrid machine learning method that combines LASSO Regression and Random Forest (Zhang et al., 2019) for spatial predictions for 1973-2022. Data were retrieved from the IAEA/WMO Global Network of Isotopes in Precipitation (no. of stations: 329) and other national datasets from about 10 countries (no. of stations: ~150).

A pilot study (for 2008-2017; Erdélyi et al. 2023) indicated the highest prediction error for the northern premises. This suggested the incorporation of sea ice as an additional predictor, since a Pan-Arctic precipitation stable isotope study pointed out that sea ice cover change is a key driver of oceanic moisture sources (Mellat et al., 2021). Results indicate an overwhelming importance of minimum temperature with the variable representing sea ice cover, ranking among the least influential parameters. The analysis fails to consider moisture source effects, transport distances, and secondary processes of recycling associated with evaporation and transpiration from landscapes across Europe. These results provide a more refined prediction due to the higher station density compared to previous models and thanks to the hybrid model, a more accurate prediction of monthly precipitation stable isotope compositions is expected for the critical areas including the latitudinal margins as well as the mountainous zones.

Activities for this presentation were supported by the IAEA (CRP F31006, CRP F33024, TC-project RER7013, Contract 23550/R0) and WATSON Cost Action 19120. This research was also funded by UEFISCDI Romania, grants number PN-III-P2-2.1-PED-2019-4102, PN-III-P4-ID-PCE-2020-2723 and ARIS (Grants P1-0143, N1-0054, N1-0309, J6-3141, J6-50214).

 

Erdélyi, D., Kern, Z., Nyitrai, T., et al. (2023). Predicting the spatial distribution of stable isotopes in precipitation using a machine learning approach: a comparative assessment of random forest variants. International Journal of Geomathematics, 14:14. doi:10.1007/s13137-023-00224-x

Mellat, M., Bailey, H., Mustonen, K-R., Marttila, H., Klein, E. S., Gribanov, K., ... Welker, J. M. (2021). Hydroclimatic Controls on the Isotopic (δ18 O, δ2 H, d-excess)  Traits of Pan-Arctic Summer Rainfall Events. Frontiers in Earth Science, 9:651731. doi:10.3389/feart.2021.651731

Zhang, H., Nettleton, D., & Zhu, Z. (2019). Regression-enhanced random forests. arXiv preprint arXiv:1904.10416.

How to cite: Erdélyi, D., Kern, Z., Hatvani, I. G., Vreča, P., Žagar, K., Huneau, F., Perșoiu, A., Leuenberger, M., Lojen, S., Kracht, O., Harjung, A., Rossi, P., Mustonen, K.-R., and Welker, J.: Machine learning analysis for predicting spatial distribution and key influencers of stable isotope patterns in European precipitation, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15660, https://doi.org/10.5194/egusphere-egu24-15660, 2024.

Moisture sources, water budgets and precipitation processes
X5.6
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EGU24-1515
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ECS
Peng Qian

The northwest China (NWC) is situated in an arid and semi-arid inland, rendering its ecosystem highly susceptible to precipitation changes. Previous studies have revealed the wetting trend and potential moisture sources of the NWC, while not clearly quantified the moisture (water vapor and precipitation) sources and its interannual variability. Here, by performing and analyzing CAM5.1 simulation for 40 years, with a coupled atmospheric water tracer algorithm (AWT), we find that the dominant sources of summer moisture over NWC are from terrestrial sources (81.8% of vapor and 77.4% of precipitation), i.e. from the North Asia (NA), Europe (EUP), southern Tibetan Plateau (STP), and southeastern China (SEC), rather than the oceanic sources. Due to the influence of synoptic patterns, the precipitation-conversion efficiency of water vapor from the southwest airflow (STP and SEC) is higher than that from the northwest airflow (NA and EUP). We also find that despite a general increasing trend in humidification, the fluctuation from relatively dry to wet years still persists in the NWC influenced by the increased transport of moisture from terrestrial sources (NA and STP).

How to cite: Qian, P.: Quantifying the moisture and precipitation sources over Northwest China and investigating the source differences in dry and wet summer seasons, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-1515, https://doi.org/10.5194/egusphere-egu24-1515, 2024.

X5.7
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EGU24-18906
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ECS
Quentin Pikeroen and Didier Paillard

The main philosophy in building a climate model is to represent the most possible number of phenomena, with the purpose of answering the most possible number of questions, with one unique perfect model. For this purpose, climate models have historically evolved from energy balance models, to radiative-convective models, to general circulation models, to the earth system model, with growing complexity. While this approach is relevant in some domains (e.g. climate services), more simple models could answer simple questions (e.g. calculate the mean temperature or precipitations for paleoclimates). Moreover, all climate models use parameterizations to represent the processes with unknown or not numerically solvable physical laws. Moreover, to make them accurate, all climate models tune their parameters. For example, in the atmosphere in the vertical direction, the energy flux often obeys a Fourier-like law with a "conductivity" coefficient tuned to fit observations. The approach we use is entirely different, and because of that, we need to rebuild everything from scratch. We want to construct a simple atmospheric model with no parameterizations (the ultimate goal could be to couple it to a vegetation or an ice model and run long simulations).

We use the MEP hypothesis (maximum entropy production) to do so. This hypothesis has been used in realistic cases with parameterizations, or without parameterizations in more theoretical cases (like 2-box models). However, we aim to construct a full climate model with the MEP hypothesis. First, we restrict ourselves to a vertical tropical atmosphere: a radiative-convective model. Only stationary states are considered. Also, the relative humidity is fixed at 100%. A realistic radiative code is used, and convection is computed with the MEP hypothesis. The computed temperatures fit well with the observations. Also, precipitations can be computed and are coherent with observations. This means that almost only the knowledge of radiative transfer is needed to obtain a good order of magnitude of precipitations. In recent developments, the model has allowed deep convection, leading to slightly different precipitations. When relative humidity is allowed to vary; in the simple convection case, the MEP solution gives a 100% relative humidity almost everywhere; and the deep convection case gives a non-trivial relative humidity profile.

Because MEP is only a hypothesis, we still need to find out if the MEP solution is the exact solution. However, it must represent some upper bound in the system because it corresponds to a maximum. It is already interesting to explore what this upper bound is.

How to cite: Pikeroen, Q. and Paillard, D.: Computing precipitations with a 1D vertical (radiative-convective) model using zero parameterizations., EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18906, https://doi.org/10.5194/egusphere-egu24-18906, 2024.

X5.8
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EGU24-11548
Hervé Giordani, Carlos Conejero, and Lionel Renault

The EUREC4A-OA experiment (January - February 2020. Bony et al., 2017) took place in the Northwest Tropical Atlantic. Atmospheric simulations were performed at kilometric scale during the EUREC4A-OA experiment (47 days) in order to estimate the sensitivity of the Marine Atmospheric Boundary-Layer (MABL) thermodynamics and circulation to the SST front associated with the North Brazil Current (NBC) and to the SST diurnal cycle. It will be shown that the NBC SST front and associated eddies «Couloir des Tourbillons» strongly control the MABL properties (Surface Pressure, Surface Heat Fluxes, Temperature, Wind, Vertical Shear, Precipitable Water, Liquid Water Content ...), while the diurnal cycle of the SST alters these properties by 5 to 10%.

A full MABL water budget has shown that the precipitable water (PW) results of the balance between the total Advection and entraiment at the MABL top, which drains water out the MABL, and surface evaporation that fills in the MABL. It will be shown that the NBC increases the loss of water by advection and by entrainment and increases the gain of water by surface evaporation, by 80 mm in 47 days. The diurnal cycle of SST amplifies these responses by 30 mm in the NBC.

Some components of the MABL energy budget will be also presented.

How to cite: Giordani, H., Conejero, C., and Renault, L.: Adjustment of the Marine Atmospheric Boundary-Layer to the North Brazil Current during the EUREC4A-OA Experiment, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11548, https://doi.org/10.5194/egusphere-egu24-11548, 2024.

X5.9
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EGU24-16667
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ECS
Yubo Liu and Qiuhong Tang

The loss of Arctic sea ice is conducive to more Arctic evaporation, which can alter precipitation through moisture cycling and transport. However, the extent of this influence remains uncertain. Our work focuses on Arctic seas where seasonal sea ice has retreated significantly. The Arctic evaporation was tracked to establish a link between changes in both sea ice and precipitation over land during the cold season (October to March). Our results show a significant one-third increase in Arctic moisture contribution to land precipitation. Despite Arctic moisture comprising a relatively small proportion of land precipitation, its heightened contribution significantly influenced the precipitation, especially over lands adjacent to the Arctic. Our findings highlight that the progressively ice-free Arctic tends to contribute to a gradual yet discernible shift in the climatological land precipitation, which may lead to an elevated risk of extreme disasters.

How to cite: Liu, Y. and Tang, Q.: Impact of increased evaporation from an increasingly ice-free Arctic on land precipitation, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-16667, https://doi.org/10.5194/egusphere-egu24-16667, 2024.

Atmospheric rivers
X5.10
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EGU24-20541
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ECS
A Novel Algorithm to Develop a Satellite-Based Atmospheric River Database
(withdrawn after no-show)
Shineng Hu and Tianying Liu
X5.11
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EGU24-18497
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ECS
Ferran Lopez-Marti, Mireia Ginesta, Davide Faranda, Anna Rutgersson, Pascal Yiou, Lichuan Wu, and Gabriele Messori

The explosive development of extratropical cyclones and the presence of atmospheric rivers play a crucial role in driving some types of extreme weather in the mid-latitudes, like compound flood-windstorm events. Although these phenomena are individually well-established and their relationship has been studied previously, there is still a gap in our understanding of how a warmer climate may affect their concurrence. Here, we focus on evaluating the current climatology and assessing changes in the future climate of the concurrence between atmospheric rivers and explosive cyclones in the North Atlantic.

We use both the ERA5 and ERA-Interim reanalysis between 1980 to 2009 from October to March to evaluate the concurrence of atmospheric rivers and explosive cyclones in the current climate. To accomplish this, we first independently detect and track atmospheric rivers and extratropical cyclones. Next, we classify each cyclone as either explosive or non-explosive and define concurrence with an atmospheric river if the latter is detected within 1500 km of the minimum sea level pressure of the cyclone. We further analyse several CMIP6 climate models for the historical scenario (1980-2009) and for the future scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5 at the end of the century (2070-2099).

Our findings reveal that atmospheric rivers are more often detected in the vicinity of explosive cyclones than non-explosive cyclones in all datasets. Moreover, we identified a significant increase in the concurrences and the atmospheric river intensity in all the future scenarios analysed. As such, our work provides a novel statistical relation between explosive cyclones and atmospheric rivers in climate projections, a characterization of both in future climates and a new climatology of the concurrences for a higher-resolution reanalysis.

How to cite: Lopez-Marti, F., Ginesta, M., Faranda, D., Rutgersson, A., Yiou, P., Wu, L., and Messori, G.: Changes in the concurrence of atmospheric rivers and explosive cyclones in the North Atlantic, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18497, https://doi.org/10.5194/egusphere-egu24-18497, 2024.

X5.12
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EGU24-778
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ECS
Tiago Ferreira, Ricardo M. Trigo, Alexandre M. Ramos, Tomás Gaspar, and Joaquim G. Pinto

Extreme precipitation over western Iberia is mostly concentrated in the winter half-year. While relatively rare, intense precipitation events can disrupt and are often associated with major human, social and economic damages. Most of the time these extreme precipitation events are triggered by intense extratropical cyclones and associated frontal systems. However, in the last decade a number of studies have shown the important role played by Atmospheric Rivers (ARs) in the occurrence of extreme precipitation events in western Europe, particularly in the Iberia Peninsula.

In this study we analyse the all-time 24h record-breaking precipitation values recorded in Lisbon, Portugal between the 12 and 13 December 2022 in terms of the synoptic background. We obtained a comprehensive synoptic characterization of the atmospheric circulation between the 1st and 15th of December, considering a wide range of meteorological fields, such as vertically integrated water vapor flux, sea level pressure, geopotential height and divergence at the 850 hPa isobar, divergence at the 200 hPa, vertical velocity at the 500 hPa and temperature and specific humidity at 900 and 600 hPa.

Results show that on the 8 December by 06 UTC an extratropical cyclone was present in the middle of the North Atlantic, with a high moisture content and that by 18 UTC on the following day a cut-off low was formed in the northwest Atlantic. This cut-off system was well characterized by relatively high vertical velocities and convergence at the low levels, combined with high rates of evaporation acquired over the Gulf Stream, intensifying the moisture content to its south side. Both systems converged on 10 December by 12 UTC and by the 18 UTC the algorithm detected an AR located southward of the extratropical cyclone. The combination between high IVT values, with maxima ranging between 947 kg m-1 s-1 and 1227 kg m-1 s-1, with a dynamical component characterised by winds above 20 m/s, as well as a suitable vertical motion, allowed the system to evolve and maintain the AR characteristics for 72 h. The AR progressed towards Iberia, affecting Portugal and central Spain as an extreme AR event, leading to the 24h precipitation record of 134.6 mm measured at the Geophysical Institute in Lisbon, the highest value since continuous measurements started in the 1860. The previous record was registered on the 18 February 2008, with a value of 118.4 mm.

This work was supported by the Portuguese Science Foundation (FCT) through the project AMOTHEC (DRI/India/0098/2020) with DOI 10.54499/DRI/India/0098/2020 and also through national funds (PIDDAC) – UIDB/50019/2020. Tiago Ferreira was supported by FCT through PhD grant UI/BD/154496/2022.

How to cite: Ferreira, T., M. Trigo, R., M. Ramos, A., Gaspar, T., and G. Pinto, J.: The Record-Breaking Precipitation Event of December 2022 in Portugal: Synoptic Background, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-778, https://doi.org/10.5194/egusphere-egu24-778, 2024.

X5.13
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EGU24-9826
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ECS
Water Vapor Budget Evaluation in Atmospheric Rivers Associated with Heavy Rainfall Events in the Southern Andes
(withdrawn)
Dipjyoti Mudiar, Roberto Rondanelli, Raul A. Valenzuela, and René D Garreaud
X5.14
|
EGU24-14310
Agnieszka Wypych

The diversity of water vapor content in the air is crucial for the regional analysis of atmospheric precipitation occurrences. The amount of water vapor carried by the air mass over a specific area can vary significantly depending on the current characteristics of air circulation, with a key role played by atmospheric rivers. These rivers originate from the meridional transport of water vapor and have a significant impact on Europe through the interaction with extratropical cyclones.
The aim of the work is to assess the intensity of water vapor transport over Europe and the extent of its inland penetration.
Atmospheric rivers/streams will be identified based on ECMWF ERA5 reanalyses data from 1991 to 2023 and CMIP6 future projections until the year 2100.
Selected cases of intense water vapor transport over the European region, especially Central Europe, will be compared with the occurrence of atmospheric precipitation.

How to cite: Wypych, A.: Atmospheric moisture transport in Central Europe – rivers or streams, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14310, https://doi.org/10.5194/egusphere-egu24-14310, 2024.

X5.15
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EGU24-19802
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ECS
3D Distribution of Atmospheric Vapor Isotopes in East Asia: Vehicle-based Spatial and Seasonal In-situ Observations and Drone-based Tropospheric Vertical Profiles and Their Added Value to Infer Convective Processes and Paleoclimate Reconstruction
(withdrawn after no-show)
Di Wang, Camille Risi, and Lide Tian

Posters virtual: Fri, 19 Apr, 14:00–15:45 | vHall X5

Display time: Fri, 19 Apr, 08:30–Fri, 19 Apr, 18:00
Chairpersons: Alexandre M. Ramos, Camilla F. Brunello, Seung Hun Baek
Atmospheric rivers
vX5.2
|
EGU24-19562
|
ECS
Kim Andreas Weiss, Tomás Gaspar, Albenis Pérez-Alarcón, Shira Raveh-Rubin, Joaquim G. Pinto, and Alexandre M. Ramos

Extra-tropical storms over the North Atlantic often leads to socio-economic impacts over Western Europe, associated with strong winds and precipitation. Such storms can be associated with so-called Atmospheric Rivers (ARs) which are relatively narrow regions of concentrated water vapor (WV) and strong winds where intense horizontal moisture transport can take place. In turn, the moisture availability along the cyclone path and the ARs lifetime can be impacted by boundary layer processes. For example, the occurrence of Dry Intrusions (DI) associated with previous cyclones can strongly destabilize the planetary boundary layer (PBL) leading to enhanced moisture uptake over the ocean. This can support the formation and/or intensification of the ARs themselves.

The objective of this study is to understand the influence of DI on the moisture uptake in the PBL and transport associated with ARs impacting France.

With this aim, an adapted version of the detection algorithm developed by Ramos et al. (2015), was applied to ERA-5 reanalysis targeting events impacting the Atlantic coast of France. A total of 300 AR-events were detected over the extended winter (ONDJFM) spanning the years 1979 to 2023. Indeed, the most intense landfalling ARs are associated with intense precipitation and high wind speeds over western France.

For a subset of these AR-events, occurring between 1992 and 2022, the Lagrangian FLEXPART model using ERA5-data was applied to calculate the moisture sources for these events. This approach allows for the tracking of air masses 10 days backward in time from the target region (5°W to 0.5°E and 43.75°N to 50°N). 

Additionally, the occurrence of DI outflows (from 1979 onward) was based on its Lagrangian detection in ERA5 to assign possible DI outflows overlapping with the source regions of moisture uptake.

Our results suggest a relationship between the areas of DIs and moisture uptake, indicating the possibility of the DI exerting influence on the formation and intensification of ARs. Overall, this work serves as a preliminary investigation for the upcoming North Atlantic Waveguide, Dry Intrusion, and Downstream Impact Campaign (NAWDIC) recently endorsed by the World Weather Research Programme (WWRP).

How to cite: Weiss, K. A., Gaspar, T., Pérez-Alarcón, A., Raveh-Rubin, S., Pinto, J. G., and Ramos, A. M.: The role of Dry Intrusions in the formation and intensification of Atmospheric Rivers impacting France, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-19562, https://doi.org/10.5194/egusphere-egu24-19562, 2024.