AS1.22 | The atmospheric water cycle: processes, dynamics, isotopic tracers, and characteristics
Orals |
Thu, 14:00
Thu, 10:45
EDI
The atmospheric water cycle: processes, dynamics, isotopic tracers, and characteristics
Co-organized by CL4
Convener: Iris ThurnherrECSECS | Co-conveners: Marina Duetsch, Alexandre M. Ramos, Bo Dong, Harald Sodemann
Orals
| Thu, 01 May, 14:00–15:45 (CEST)
 
Room 0.11/12
Posters on site
| Attendance Thu, 01 May, 10:45–12:30 (CEST) | Display Thu, 01 May, 08:30–12:30
 
Hall X5
Orals |
Thu, 14:00
Thu, 10:45
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, Cold-Air Outbreaks, Warm Conveyor Belts, Tropical Moisture Exports, and the global Monsoon systems;

* 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, 1 May | Room 0.11/12

Chairpersons: Marina Duetsch, Iris Thurnherr
14:00–14:05
14:05–14:15
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EGU25-2539
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ECS
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On-site presentation
Yongqi Gong and Haipeng Yu

In July 2021, the Taklamakan Desert (TD) experienced an unprecedented rainstorm with daily precipitation exceeding 61.1 mm, triggering mudslides and landslides, highlighting the increasing frequency of extreme precipitation events even in arid regions under global warming. The water vapor sources and transport paths of this rainstorm are still puzzling due to the insufficient representation of physical processes in previous analytical models, leading to possible deviations from reality. Here, using the online Eulerian Weather Research and Forecasting model with water vapor tracer (WRF-WVT), we aim for an improved understanding of water vapor sources of the rainfall event. Results demonstrate that the most important water source for this event is water vapor from local evapotranspiration, contributing to 32.77% of the rainstorm moisture. Water vapor from Upstream Westerlies (28.95%) and East Asian Drylands (28.54%) are transported over the precipitation area by the westerlies owing to the strong lower-level low-pressure system, being the second-most important precipitation source. These sources contribute significantly more than other regions, including the Arabian Sea (5.56%), the Tibetan Plateau (2.16%), and the South Asian Monsoon (0.77%). External moisture sources collectively provide over 65.98% of the precipitation, underscoring their important role. Notably, local evapotranspiration significantly influences precipitation, exceeding the contributions from other individual sources. By comparing with the 2016 precipitation event, it is found that a low-pressure trough extending southward to the west of the TD plays a significant role in the 2021 rainstorm event. The presence of the trough significantly enhances the moisture transport of the westerlies and the upward motion, contributing to the occurrence of extreme precipitation events.

How to cite: Gong, Y. and Yu, H.: The Water Vapor Origin of a Rainstorm Event in the Taklamakan Desert, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-2539, https://doi.org/10.5194/egusphere-egu25-2539, 2025.

14:15–14:25
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EGU25-4013
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On-site presentation
Jianhui Wei, Joel Arnault, Thomas Rummler, Benjamin Fersch, Zhenyu Zhang, Patrick Laux, and Harald Kunstmann

Global warming is accelerating the global water cycle. However, quantification of the acceleration and regional analyses remain open. Accordingly, in this study we address the fundamental hydrological question: Is the water cycle regionally accelerating/decelerating under global warming? For our investigation we have implemented the age-weighted regional water tagging approach into the Weather Research and Forecasting WRF model, namely WRF-age, to follow the atmospheric water pathways and to derive atmospheric water residence times defined as the age of tagged water since its source. We apply a three-dimensional online budget analysis of the total, tagged, and aged atmospheric water into WRF-age to provide a prognostic equation of the atmospheric water residence times and to derive atmospheric water transit times defined as the age of tagged water since its source originating from a particular physical or dynamical process. The newly developed, physics-based WRF-age model is used to regionally downscale the reanalysis of ERA-Interim and the MPI-ESM Representative Concentration Pathway 8.5 scenario exemplarily for an East Asian monsoon region, i.e., the Poyang Lake basin (the tagged water source area), for historical (1980-1989) and future (2040-2049) times. In the warmer (+1.9 °C for temperature and +2% for evaporation) and drier (-21% for precipitation) future, the residence time for the tagged water vapor will regionally decrease by 1.8 hours (from 14.3 hours) due to enhanced local evaporation contributions, but the transit time for the tagged precipitation will increase by 1.8 hours (from 12.9 hours) partly due to slower fallout of precipitating moisture components. These findings reveal the physical mechanisms behind dry-getting-dryer at regional scales.

How to cite: Wei, J., Arnault, J., Rummler, T., Fersch, B., Zhang, Z., Laux, P., and Kunstmann, H.: Acceleration of the Hydrological Cycle under Global Warming for the Poyang Lake Basin in Southeast China: An Age-Weighted Regional Water Tagging Approach, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-4013, https://doi.org/10.5194/egusphere-egu25-4013, 2025.

14:25–14:35
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EGU25-14484
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ECS
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Virtual presentation
Thanangka Chutia and Arindam Chakraborty

Hourly rainfall data from 81 Self Recording Rain Gauge stations were analyzed to study the temporal change of the diurnal cycle of rainfall across India between the two periods: 1969-1991 (past) and 1992-2014 (recent). Except east and northeast (ENE) and west India (WI), majority of the stations showed delayed phase of the diurnal cycle of rainfall in recent period.Both frequency and intensity diurnal cycle contributes to the delayed phase over central India (CI) whereas only the intensity diurnal cycle is responsible for advanced phase over WI. Decrease in the number of heavy rainfall events in the past phase contributes most to the delayed phase in CI while increase in the intensity of heavy rainfall events in the recent phase primarily contributes to the advanced phase over WI. Besides, increase in the number of break days over CI is also responsible its delayed phase. The decrease (increase) in CAPE over WI (CI) is responsible for advanced (delayed) phase.

How to cite: Chutia, T. and Chakraborty, A.: Temporal Evolution of Diurnal Cycle of Rainfall Using Rain Gauge Data Over India, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-14484, https://doi.org/10.5194/egusphere-egu25-14484, 2025.

14:35–14:45
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EGU25-18111
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On-site presentation
Frank Selten, Rikke Stoffels, Chris Weijenborg, and Imme Benedict

Extratropical cyclones are essential for the redistribution of energy, moisture, and momentum from the equator to the poles. Although wintertime extratropical cyclones are relatively well studied, less is known about summertime cyclones. Therefore, this research aims to improve our understanding of how summertime extratropical cyclones in the Northern Atlantic shape the global water cycle. More specifically, we focused on determining the moisture sources of these cyclones and analysed how precipitating air parcels were transported to the cyclone center. Changes in the moisture uptake and transport characteristics during the cyclone life cycle were also evaluated. To this end, 8-day backward trajectories were computed for the 20% most intense storms for three different stages in their life cycle: intensification, time of maximum intensity, and decay. Trajectory calculations were performed for all precipitating air parcels in a 500 km radius surrounding the cyclone center using the Lagrangian analysis tool LAGRANTO. Subsequently, moisture uptakes along the trajectories of only precipitating parcels were identified using the moisture source diagnostic WaterSip. We find that the bulk of the precipitation falls close to the cyclone center and along the fronts, mostly during the intensification phase. The origins of this moisture correspond to areas of high evaporation, with hotspots over the Gulf Stream region and its northeastern extension, and continental sources for cyclones in the Labrador Sea. The source distance is large during intensification, while local evaporation becomes more important during decay. Finally, we discuss the differences between summer and winter, as they have different dependencies on preceding "parent" cyclones for moisture supply.

How to cite: Selten, F., Stoffels, R., Weijenborg, C., and Benedict, I.: Moisture sources and transport pathways of summertime intense extratropical cyclones in the North-Atlantic, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-18111, https://doi.org/10.5194/egusphere-egu25-18111, 2025.

14:45–14:55
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EGU25-14470
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ECS
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On-site presentation
Robert Fajber and Phillipe Boulanger

The age of water vapor in the atmosphere is often invoked to explain a well known discrepancy in the change of the hydrologic cycle with global warming. Although moisture increases at a rate of 7% per degree of global warming, precipitation increases only at a rate of 2% per degree of global warming. The difference between these rates can be explained by a 5% increase in water vapor age per degree of global warming. Although this explanation works on a global scale, it does not explain the spatial distribution in the increase of the age, or the dynamical mechanisms which are responsible for this increase in age.

In this project, we demonstrate the potential of a 3D Eulerian age tracking system for the age of water vapor in a simplified atmospheric general circulation model. The age tracking system works by computing the moments of the age distribution, which form a recursive system. The moments themselves exist as passive tracers, so they can be transported with the water vapor using a consistent transport calculation. This method allows us to track the age of water vapor online in any configuration where the model can be run, including both control and climate change simulations. Our intial tests with an aquaplanet model show a relative increase with age with height and towards the poles, with a decrease over the midlatitude eddies and an increase in the updraft of the Hadley cell. Additionally by resolving the standard deviation of the age distribution we can calculate the shape parameter of the distribution (raio of mean to standard deviation), which shows which regions of the atmosphere are affected by transport from a single pathway and which regions are affected by transport from multiple pathways. We further demonstrate the ability of our age tracking system in more realistic model configurations and climate change scenarios. 

How to cite: Fajber, R. and Boulanger, P.: 3D Eulerian Calculation of water vapor age moments for climate change and atmospheric dynamics studies, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-14470, https://doi.org/10.5194/egusphere-egu25-14470, 2025.

14:55–15:05
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EGU25-4531
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ECS
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On-site presentation
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Ranjan Kumar and Amey Pathak

The Ganga Basin, a region vital for agriculture and water resources, is heavily influenced by monsoonal rainfall patterns. Understanding the sources of this rainfall and their role in extreme weather events is critical. This study investigates the transport and contribution of moisture from two major sources the Bay of Bengal and the Arabian Sea on extreme rainfall events in the Ganga Basin from 2012 to 2023. We focus on analyzing the dynamics of moisture flow and the contributions of these sources during periods of heightened rainfall caused by cyclonic systems and other meteorological factors. Using a Lagrangian trajectory model, we track moisture fluxes and quantify water vapor transport from both the Bay of Bengal and the Arabian Sea. Our findings highlight the pivotal role of the Bay of Bengal in the Ganga Basin's rainfall, particularly during monsoon extremes. The Bay of Bengal's proximity to the Ganga Basin and its larger surface area make it the primary moisture source. The moisture generated in the Bay, aided by the monsoon winds, moves inland, directly influencing the seasonal and extreme rainfall patterns over the region. Additionally, cyclonic activity such as tropical storms and depressions further intensifies moisture transport, causing localized flooding and extreme rainfall events that alter the regular monsoon cycle. While the Arabian Sea does contribute to the Ganga Basin’s rainfall, especially during specific monsoonal periods, its influence is more intermittent and weaker compared to the Bay of Bengal. Moisture transport from the Arabian Sea is less direct, with its contributions more noticeable during particular timeframes, outside the peak monsoon season. This study provides a comprehensive understanding of how moisture recycling within the Ganga Basin interacts with moisture fluxes from the Bay of Bengal and the Arabian Sea. We assess how much each of these moisture sources influences extreme rainfall events, revealing the interconnectedness between the Ganga Basin’s moisture recycling processes and the external moisture inputs. This analysis is crucial in understanding the dependency of the Ganga Basin’s rainfall on these external moisture sources, as well as their combined contribution to extreme rainfall events. By examining these dynamics, the study contributes to a more precise understanding of the mechanisms that drive extreme rainfall in the Ganga Basin. It highlights the critical role of the Bay of Bengal in sustaining rainfall, especially during periods of heightened rainfall intensity, and offers insights into how these moisture sources affect the region’s water availability and agricultural productivity.

How to cite: Kumar, R. and Pathak, A.: Tracing Moisture Flow from the Bay of Bengal and Arabian Sea with its Impact on Ganga Basin during Monsoonal Extremes, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-4531, https://doi.org/10.5194/egusphere-egu25-4531, 2025.

15:05–15:15
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EGU25-18530
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ECS
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On-site presentation
Niels Dutrievoz, Cécile Agosta, Amaëlle Landais, Cécile Davrinche, Camille Risi, Sébastien Nguyen, Christophe Leroy-Dos Santos, Inès Ollivier, Elise Fourré, Antoine Berchet, and Jonathan Wille

On December 19-21 2018, an atmospheric river hit the French-Italian Concordia station, located at Dome C, East Antarctic Plateau, 3 269 m above sea level. It induced a significant surface warming (+ 15°C in 3 days), combined with high specific humidity (multiplied by 3 in 3 days) and a strong isotopic anomaly in water vapour (+ 15 ‰ for δ18O). The isotopic composition of water vapour monitored during the event may be explained by (1) the isotopic signature of long-range water transport, and by (2) local moisture uptake during the event. In this study, we use continuous meteorological and isotopic water vapour observations, together with the atmospheric general circulation model LMDZ6iso, to describe this event and to quantify the influence of each of these processes. The presence of mixed-phase clouds during the event induced a significant increase in downward longwave radiative fluxes, which led to high turbulent mixing in the boundary layer. These fluxes are well represented by LMDZ6iso, as are the near-surface temperature and specific humidity. The surface vapour δ18O is accurately simulated during the event, despite an overestimated amplitude in the diurnal cycle outside of the event. Using this LMDZ6iso simulation, we perform a water vapour mass budget in the boundary layer and we show that the primary driver of the positive δ18O anomaly in vapour is surface sublimation, which becomes significantly stronger during the event compared to typical diurnal cycles. The second contribution arises from large-scale moisture advection associated with the atmospheric river. Consequently, the isotopic signal monitored in water vapour during this atmospheric river event reflects both long-range moisture advection and interactions between the boundary layer and the snowpack. Only specific meteorological conditions driven by the atmospheric river can explain these strong interactions. Enhancing the representation of local processes in climate models, especially by incorporating isotopic fractionation during sublimation, could substantially improve the simulation of the isotopic signal over Antarctica. Given the importance of air-snow vapour exchanges at the surface and in the atmosphere and their influence on the isotopic composition of surface snow, such simulations could provide valuable insights into how moisture advection events might affect the climate-scale isotope signal in ice cores.

 

How to cite: Dutrievoz, N., Agosta, C., Landais, A., Davrinche, C., Risi, C., Nguyen, S., Leroy-Dos Santos, C., Ollivier, I., Fourré, E., Berchet, A., and Wille, J.: Water vapour isotope anomalies during an atmospheric river event at Dome C, East Antarctica, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-18530, https://doi.org/10.5194/egusphere-egu25-18530, 2025.

15:15–15:25
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EGU25-3310
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On-site presentation
Didier Gastmans, Vinícius Santos, Shujiro Komiya, Ricardo Sánchez-Murillo, Sam Jones, Zayra Christine Sátyro Santos, Rafaela Rodrigues Gomes, Susan Trumbore, Gerd Gleixner, and Ana Maria Duran-Quesada

The Amazon region is recognized as one of the world's most significant active convective areas, generating precipitation systems that regulate the climate and weather across the region. Climate projections indicate increased convection over South America, expected to intensify extreme events and amplify their impacts on society. Stable water isotopes are a valuable tool for investigating the formation and evolution of extreme rainfall events in tropical regions. This study presents high-frequency (5-30 minutes) isotope data for rainfall (n=115) and vapor (Picarro Inc., USA L2140i analyzer) from 19 convective events at the ATTO tower site (25/Jan-08/Feb 2024), coupled with various meteorological data (Rain Micro Radar, ATTO tower, Reanalysis, GOES-16). Rainfall and vapor exhibited distinct isotopic signatures with similar temporal trends, with vapor being more depleted in 𝛿18O (-13.78 to -8.92‰) than rainfall (-6.28 to +1.03‰).  Rainfall events were short-lived (< 1 hour) and associated with lower cloud top temperature (-33ºC to +9°C). The averaged 𝛿18O variability within (intra-) and between events (intra: -6.28 to -4.03‰, between: -5.13‰ and +1.03‰), suggests a complex interplay of factors influencing precipitation formation. These factors likely include moisture transport, limited vertical development, and the incorporation of forest evapotranspiration. This study provides valuable insights into the intricate relationship between the Amazon rainforest and rainfall formation. The generated knowledge and data can contribute to improving atmospheric models and understanding the potential impacts of climate change on the Amazon's hydroclimatic system.

How to cite: Gastmans, D., Santos, V., Komiya, S., Sánchez-Murillo, R., Jones, S., Santos, Z. C. S., Gomes, R. R., Trumbore, S., Gleixner, G., and Duran-Quesada, A. M.: High-Frequency Isotopic Analysis Unveils the Complexity of Convective Rainfall Dynamics in the Central Amazon, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-3310, https://doi.org/10.5194/egusphere-egu25-3310, 2025.

15:25–15:35
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EGU25-12038
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ECS
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On-site presentation
Amanda Soares, Didier Gastmans, and Vinicius dos Santos

Observations on the variability of the isotopic composition of rainfall have been used to understand the effects of climate change, but there is a gap in this type of analysis in tropical regions. Studies in tropical regions are extremely important to assess the influence of meteorological parameters on the isotopic composition of rainfall, as these regions have a unique climate that greatly influences the distribution of rainfall regimes. The aim of this study is to evaluate the historical series of isotopic data from the GNIP station at Rio Claro, located in Southeast region of Brazil, since the climate in this area is directly influenced by a variety of atmospheric systems that impact the variation in isotopic composition of rainfall. This study presents the analysis of a 10-year dataset of daily isotopic precipitation data (δ¹⁸O, δ²H, and d-excess). The isotopic signatures for δ¹⁸O ranged from -21.74‰ to 9.09‰ VSMOW, and for δ²H the variation was from -158.45‰ to 44.9‰ VSMOW, determining the Local Meteoric Water Line (LMWL) of Rio Claro as δ²H = 7.76 * δ¹⁸O + 10.97. The values of the LMWL are close to the Global Meteoric Water Line (GMWL), demonstrating a balance between evaporation and vapor recirculation processes. The rainy season LMWL (δ²H = 7.72 * δ¹⁸O + 10.3) is also close to the LMWL for Rio Claro. However, when considering data from the dry season, which represents 24% of the rainfall data, the LMWL indicates stronger vapor recirculation processes (δ²H = 7.7 * δ¹⁸O + 12.12), caused by rainfall initiated by cold fronts. Trend analysis using the Mann-Kendall test revealed a decreasing trend for δ²H and d-excess, while rainfall showed an increasing trend over the study period. These findings highlight the significance of determining the LMWL for Rio Claro, as it provides a valuable reference for isotopic studies in the region. Moreover, the analysis offers a comprehensive overview of the isotopic dataset, which can be further expanded and refined through the integration of synoptic meteorological data.

How to cite: Soares, A., Gastmans, D., and dos Santos, V.: Long-term isotopic monitoring in Southeast region of Brazil, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-12038, https://doi.org/10.5194/egusphere-egu25-12038, 2025.

15:35–15:45
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EGU25-736
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On-site presentation
Supriya Chakraborty, Neha Trivedi, and Rajendra Trivedi

The monsoon system is a dynamic and complex component of the atmospheric water cycle, profoundly impacting weather, climate, and human activities. A variety of meteorological observations are used to understand the monsoon system. The isotopic technique provides a unique perspective on moisture dynamics, enhancing our understanding of the monsoon system. The isotopic signature of precipitation is shaped by numerous geographical and environmental variables, making only select regions suitable for in-depth monsoon isotopic studies. The central Indian region, a pivotal monsoon zone, exhibits distinct characteristics ideal for studying monsoon dynamics. Key features include the passage of the monsoon trough- a modified Intertropical Convergence Zone, and frequent low-pressure systems (LPS) from the northern Bay of Bengal, contributing significantly to summer monsoon rainfall. Notably, rainfall variability in central India shows an out-of-phase relationship with northeastern India. Furthermore, central Indian rainfall strongly correlates with the All-India Summer Monsoon Rainfall, serving as a reliable proxy. Despite its potential, the isotopic technique remains underutilized in this core monsoon zone (CMZ: approximately defined by an area 18-28oN, 65-88oE) for monsoon research.

We report a multi-year (2016-2021) precipitation isotopic record obtained from Sagar, a site in the CMZ of India. We explore the relationship between isotopic signatures and regional-scale atmospheric processes mediated by diabatic heating and its vertical distribution pattern, the LPSs, moisture source dynamics, monsoon trough variability, and other meteorological conditions. We also examine the role of recycled rainfall in modulating the precipitation isotopic variability.

We have computed the diabatic heating profiles over India's CMZ. The calculated heating profiles are strongly associated with the monsoon rainfall variability expressed through a precipitation index over the CMZ. We observed a strong association between precipitation isotopic depletion and tropospheric heating. Our analysis reveals that LPSs significantly influence rainfall isotopic values through their origin, trajectory, and intensity. These systems and associated convective activity yield depleted isotopic signatures. A strong inverse relationship exists between LPS intensity and corresponding precipitation isotopic values.

Terrestrial evaporation, leading to substantial recycled rainfall, plays a pivotal role in modulating precipitation isotopic variability. A notable inverse correlation exists between precipitation isotopes and recycled rainfall. The isotopic depletions resulting from diabatic heating, LPSs, and recycled rainfall collectively manifest the amount effect, highlighting a common link among these processes.

The out-of-phase isotopic patterns observed in central and northeastern India mirror the region's dipolar rainfall variability, rendering the CMZ an optimal location for proxy-based reconstructions of past rainfall variability.

How to cite: Chakraborty, S., Trivedi, N., and Trivedi, R.: Isotopic Signatures of Precipitation: Linking Tropospheric and Surface Processes in India's Core Monsoon Zone, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-736, https://doi.org/10.5194/egusphere-egu25-736, 2025.

Posters on site: Thu, 1 May, 10:45–12:30 | Hall X5

Display time: Thu, 1 May, 08:30–12:30
X5.59
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EGU25-1423
Shuang-Ye Wu, Zhaojun Zhan, Zelalem Bedaso, and Yonas Hagos

Investigating the mechanisms of precipitation isotope variation is essential for interpreting hydrological processes and reconstructing isotope-based paleoclimate records, especially in arid regions with complex precipitation patterns like Ethiopia. This study analyzed the seasonal and interannual variations of stable isotopes in precipitation at Addis Ababa, northwestern Ethiopia, using observed and simulated monthly δ18O data from GNIP and IsoGSM2, respectively. Results show a significant 18Op depletion during the rainy season (June to September, JJAS) compared to the dry season. Locally enhanced convection, intensified convective and large-scale precipitation, and higher relative humidity may contribute to this depletion. These local meteorological variables explained nearly half of the JJAS δ18Op variation. In addition, moisture contribution and rainout process along the path from the Southern Indian Ocean (SIO) to the western Ethiopian Highland also contribute to the JJAS 18Op depletion. This study also demonstrates the relationship between El Niño and the Southern Oscillation (ENSO) and the interannual variation of JJAS δ18Op in Ethiopia: the warm (cold) phase of ENSO modulates the enrichment (depletion) of JJAS 18Op via the less (more) JJAS rainfall. Warm SST anomalies in the Central Pacific weaken the intensity of the Indian Summer Monsoon (ISM), suppress the convective activities, and reduce the amount and intensity of JJAS rainfall over Ethiopia, causing significant 18Op enrichment during El Niño years. Our study provides insights into understanding hydrological processes and interpreting paleoclimate δ18Op records in East Africa.

How to cite: Wu, S.-Y., Zhan, Z., Bedaso, Z., and Hagos, Y.: Comparison of local and remote controlling factors on the precipitation isotopic variation in northwestern Ethiopia, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-1423, https://doi.org/10.5194/egusphere-egu25-1423, 2025.

X5.60
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EGU25-11440
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ECS
Harsh Oza, Ludvig Löwemark, George Kontsevich, Akkaneewut Jirapinyakul, Sakonvan Chawchai, Helmut Duerrast, Mao-Chang Liang, Midhun Madhavan, and Chung-Ho Wang

In the fields of atmospheric and climate science, there is growing use of machine learning and global circulation models. These approaches are becoming increasingly sophisticated with the availability of extensive ground-based and remotely sensed datasets. However, both approaches rely on the availability of large spatial and temporal datasets. For over half a century, stable isotopes of oxygen and hydrogen have been used as robust proxies for understanding hydrometeorological processes, acting as conservative tracers of land-ocean-atmosphere interactions. However, these isotopic measurements are non-continuous and highly discreet. Although satellites such as ACE, TES, Aura, and SCIMACHY do measure the isotopic composition of atmospheric vapour, they carry high uncertainties, making them less reliable. Therefore, despite their promise, these approaches are not readily applicable for deciphering local hydrometeorological processes, primarily due to limited data availability and relatively coarser spatial resolution.

Here, we introduce a simple yet robust approach to link meteorological and atmospheric data with discreet and limited isotopic measurements, aiming to understand how large-scale ocean-atmosphere processes govern local hydrometeorology. We employed Empirical Orthogonal Function (EOF) to identify prominent oceanic and atmospheric patterns over large spatial domains and to reduce dimensionality, thus converting the 3D climate datasets (e.g., ECMWF reanalysis) into 2D representations. We then applied non-parametric correlation technique, specifically Spearman‘s rank correlation, to link the meteorological data with localized, discreet precipitation isotope measurements. Adopting a non-parametric correlation avoids strict assumptions about data distributions. This approach offers significant benefits over traditional and more complex, modern methods by handling non-linearity and spatial heterogeneity. It also provides an effective means of identifying and interpreting local hydroclimatic processes and their linkages to broader atmospheric and oceanic drivers, thereby bridging the gap between large-scale atmospheric factors and local hydrological responses. Consequently, it offers deeper insight into the complex interplay among numerous processes operating at varied spatiotemporal scales.

Our preliminary findings quantitatively highlight the roles of sea surface temperature gradient between the eastern Indian Ocean and the South China Sea, pressure, potential vorticity, boundary layer height, vertical transport, wind speeds, and specific humidity in driving precipitation isotope variability in the Malaya peninsula. These linkages were previously unknown or qualitatively estimated by traditional methods, highlighting the value of this synergistic approach in bridging the spatial data disparities and improving our understanding of the regional drivers in the local hydrological cycle.

How to cite: Oza, H., Löwemark, L., Kontsevich, G., Jirapinyakul, A., Chawchai, S., Duerrast, H., Liang, M.-C., Madhavan, M., and Wang, C.-H.: Bridging the Scale Gap: Leveraging EOF and Non-Parametric Correlation to Connect Meteorological Fields and Precipitation Isotopes, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-11440, https://doi.org/10.5194/egusphere-egu25-11440, 2025.

X5.61
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EGU25-12645
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ECS
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Anubhav Singh and Yama Dixit

Northern India receives rainfall from dual precipitation systems: Indian Summer Monsoon (ISM) and the Westerlies. Isotopic analysis of precipitation water and water vapor isotopes from the region can serve as a tracer to identify the moisture source and atmospheric phenomenon associated with the advection of moisture-laden air parcel. Water isotopic ratios (δ17O, δ18O) and secondary parameters (d-excess and 17O-excess) provide critical insights in understanding the monsoon dynamics of the region. 17O-excess enables us to estimate relative humidity conditions at the source region. This study presents the first continuous record of triple oxygen isotopes in the North Indian region (a low-latitude region but still having high heat exchange capacity due to extensive glacial mass).

Event based rainwater samples have been collected using a standard rain collector and high-resolution isotopic data of atmospheric vapor has been acquired using Picarro-L2140i installed at Manali station for June-July-August-September (JJAS) 2024. Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) back trajectory analysis suggests that moisture responsible for rainfall in Manali originates from Bay of Bengal, Arabian Sea, Westerlies and some local moisture sources. Specific humidity changes plotted along the back trajectories carry vital information regarding moisture percentage calculations from various sources. Local Meteoric Water Line (LMWL) have also been generated for the region which suggests significant influence of continental recycling and evaporative enrichment. Quantitative estimation of moisture contribution from various sources and effects of local meteorological parameters (e.g. wind speed & direction, relative humidity, temperature, rainfall amount) on isotopic values of atmospheric water observed in this study will be discussed at the time of presentation.

How to cite: Singh, A. and Dixit, Y.: Understanding summer monsoon variability in Northern India through isotopic signatures of precipitation water and water vapor isotopes , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-12645, https://doi.org/10.5194/egusphere-egu25-12645, 2025.

X5.62
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EGU25-12738
Lucinda Bryce, Kim Cobb, Jessica Conroy, Samantha Levin, Manlin Xu, Germain Hernández, Ricardo Sánchez-Murillo, Madeleine Hardt, Nicole Murray, Elisabeth Holland, Wendy-Jane Powell, Xi-Kai Wang, and Syria Lejau

Potential anthropogenic shifts in the hydroclimate impacts of El Niño Southern Oscillation (ENSO) extremes are poorly resolved by available data. Water isotopologues provide valuable tracers of hydroclimatic processes, including the balance of precipitation versus evaporation and the relative importance of regional versus local drivers of hydroclimate variability  (Dee et al., 2023 and references therein; Moerman et al., 2013). However, very few water isotopologue datasets exist in the tropical Pacific, and those that do fail to resolve a full ENSO cycle. In this study, we present oxygen isotope (δ18O) and deuterium (δ2H) time series for precipitation, seawater, as well as sea-surface salinity time series from 5 sites spanning the tropical Pacific across the 2023/24 El Niño event and 2024/25 La Nina event.. Weekly seawater and daily rainwater δ18O time series from the Galapagos, Fiji, Hawaii, and Kiritimati Island, as well as rainwater δ18O time series from northern Borneo and Costa Rica reveal a distinct signature of the 2023/24 El Niño event. Preliminary analyses indicate that seawater δ18O values reflect both local and remote processes, with the relative balance being largely site-dependent. This study provides quantitative estimates of rainfall and seawater δ18O anomalies through a cycle of ENSO extremes, and investigates regional drivers of hydrologic circulation across space and time. Taken together, our results provide the first empirical dataset of ENSO-related δ18O anomalies spanning the tropical Pacific across a complete ENSO cycle, with applications to data-model intercomparison studies and investigations of tropical Pacific hydroclimatic processes. 

How to cite: Bryce, L., Cobb, K., Conroy, J., Levin, S., Xu, M., Hernández, G., Sánchez-Murillo, R., Hardt, M., Murray, N., Holland, E., Powell, W.-J., Wang, X.-K., and Lejau, S.: Water Isotopologue Time Series across Tropical Sites during ENSO extremes, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-12738, https://doi.org/10.5194/egusphere-egu25-12738, 2025.

X5.63
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EGU25-12895
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ECS
Hongsheng Wang and Jennifer Catto

Climatological studies have marked the important role of atmospheric fronts in the hydroclimate and water cycle of the Earth system, especially in the mid-latitudes. Precipitation associated with fronts is highly affected by the (spatially and temporally) co-existing weather systems with fronts such as atmospheric rivers (ARs) and mesoscale convective systems (MCSs) proved by previous studies. Current work discloses the environmental characteristics of frontal precipitation, which is less discussed, through analyzing the environmental variables including frontogenesis, moisture flux convergence (MFC), and convective available potential energy (CAPE) within the frontal zone. Results show that the extreme-precipitating fronts have higher mean positive frontogenesis and mean positive MFC than non-extreme-precipitating fronts. The study attempts to explicate the role of ARs and MCSs in frontal precipitation by analyzing the statistical distribution and cross-section in the cross-front direction of environmental variables of categorized fronts (co-occurring with ARs, MCSs, and both). There is a distinguishable shift of mean positive MFC distribution towards the high end when fronts co-occur with ARs (including both ARs and MCSs) compared with these with MCSs only, indicating the critical role of ARs in moisture transport to facilitate precipitation within the frontal zone. This work aims to highlight the environmental characteristics of fronts, especially those producing extreme precipitation, contributing to the theoretical understanding of precipitation from the perspective of weather phenomenon.

How to cite: Wang, H. and Catto, J.: Understanding the environmental characteristics of frontal precipitation, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-12895, https://doi.org/10.5194/egusphere-egu25-12895, 2025.

X5.64
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EGU25-12908
Johannes Christoph Haas, Giorgio Höfer-Öllinger, and Elke Ludewig

Since August of 2016, daily precipitation samples for stable isotope analysis are collected at the Sonnblick Observatory (SBO). The SBO is located on the peak of Mt. Hoher Sonnblick, at an elevation of 3106 m above sea level, on the main ridge of the Alps in Austrias Hohe Tauern Region [1, 2]. These samples are analyzed using laser absorption spectroscopy (OA-ICOS, LGR T-LWIA-45-EP) at ISOLAB Salzburg, geoconsults in-house laboratory, producing data for the precipitations δ2H, δ18O and δ17O stable isotope composition.

To our knowledge, this data set, both in location (highly alpine) as well as in temporal resolution (daily data) and length of the data (multiple, full years) is unique. The aim of this Poster is to raise awareness about this data set and to discuss preliminary findings, before publishing the data for further work.

As expected, the data show pronounced seasonal variations (up to approx. 25 ‰ for δ18O, 10 ‰ for δ17O and 120 ‰ for δ2H) and notable differences between the various years in the data set, which compares well to the longterm observation from the nearby Böckstein Station of the Austrian Network of Isotopes in Precipitation and Surface Waters (ANIP) [3, 4]. However, the ANIP station, located in a valley, at 1014 m a s l, is collected in monthly intervals only.

Besides these seasonal and annual variations, significant differences in isotopy between single precipitation events can be observed. At a maximum, from December 27. to December 28. 2017 (21,6 mm of precipitation) δ18O and δ2H drop from ‑8.07 and ‑85.89 ‰ VSMOW to ‑30.14 and ‑224.60 ‰ VSMOW, a difference of -22.07 and -138.71 ‰ respectively, within a day. Similarly, from March 04. to March 05. 2020 (2.5 mm of precipitation), δ18O and δ2H rise from ‑22.10 and -172.04 ‰ VSMOW to ‑2.22 and ‑47.05 ‰ VSMOW, a difference of +19.88 and +124.99 ‰.

Such changes, reflecting a multitude of possible causes, such as for example altitude effect or different sources of the precipitating moisture (Mediterranean vs. Atlantic in case of the Sonnblick) are generally not seen in the prevailing monthly data and pose an interesting field for further research.

In general, most of the data follow both, the global mean water line (GMWL [5]) and the Austrian mean water line (AMWL [6]); but a trend towards higher δ18O and δ2H values, resulting in a local, daily, water line of approx. δ2H = 6.3 δ18O – 18.1 for this high-alpine environment can be distinguished.

[1] https://www.sonnblick.net/en/about-us/

[2] https://www.sonnblick.net/en/the-observatory/location/

[3] KRALIK, PAPESCH, & STICHLER (2003): Austrian Network of Isotopes in Precipitation (ANIP): Quality assurance and climatological phenomenon in one of the oldest and densest networks in the world. Isotope hydrology and integrated water resources management: 146-149.

[4] https://www.umweltbundesamt.at/wasser/informationen/isotope/isotopenmessnetz-anip

[5] CRAIG, H. (1961): Isotopic Variations in Meteoric Waters. Science, 133: 1072-1073

[6] HAGER, B. & FOELSCHE, U. (2015): Stable isotope composition of precipitation in Austria. AJES, 108: 2-13

How to cite: Haas, J. C., Höfer-Öllinger, G., and Ludewig, E.: The NISBO data set – high altitude daily precipitation stable isotope data since 2016, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-12908, https://doi.org/10.5194/egusphere-egu25-12908, 2025.

X5.65
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EGU25-21252
Lucie Bakels, Lan Wang-Erlandsson, Ruud van der Ent, Arie Staal, Patrick Keys, Delphine Clara Zemp, Ingo Fetz, Makoto Taniguchi, and Line J. Gordon

Moisture recycling is an important source of precipitation in the tropical forests of South America and Africa. Moisture is partly recycled from the tropical forests themselves (forest rainfall self-reliance) and is therefore subject to deforestation, which reduces evaporation. During the dry season, when water is already scarce, a further reduction in precipitation due to decreasing moisture recycling rates could potentially be fatal for already vulnerable ecosystems. It is therefore important to better understand the self-reliance of precipitation in tropical forests. For this reason, we present climatologies of precipitation dependence on evaporation in and from tropical forests using WAM2layers driven by ERA5 data. We find that forest rainfall self-reliance increases during the dry season in both the Amazon and Congo rain forests.

How to cite: Bakels, L., Wang-Erlandsson, L., van der Ent, R., Staal, A., Keys, P., Zemp, D. C., Fetz, I., Taniguchi, M., and Gordon, L. J.: Dry periods amplify the Amazon and Congo forests’ rainfall self-reliance, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-21252, https://doi.org/10.5194/egusphere-egu25-21252, 2025.

X5.66
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EGU25-16758
Anas Emad, Leo Oskar Franke, Gökben Demir, Christian Markwitz, Maren Dubbert, and Alexander Knohl

Dual-isotope eddy covariance measurements offer a novel approach for studying water fluxes in ecosystems, providing detailed insights into evapotranspiration (ET) and its components, evaporation (E) and transpiration (T). During the 2024 growing season, a dual-isotope eddy covariance system was deployed over a winter wheat cropland in central Germany, integrating a Los Gatos Research (LGR) Water Vapor Isotope Analyzer with a conventional eddy covariance setup. This system continuously measured isotopic fluxes (δD and δ18O) alongside water vapor, carbon dioxide, and energy fluxes at high temporal resolution. These measurements were supplemented by soil water profiles, biometeorological observations, and vegetation indices.

The isotopic flux data revealed diurnal and seasonal dynamics of water vapor isotopes, linked to environmental drivers such as vapor pressure deficit, soil moisture, and crop phenology. Preliminary results show a diurnal cycle of isotope fluxes of ET, characterized by isotopic enrichment during the middle of the day, with δ18OET reaching -12‰ and δDET reaching -110‰ (both against VSMOW). The results suggest that transpiration dominates ET during peak growth stages, while evaporation increases following precipitation events or during early crop development.

Key challenges include correcting for high-frequency dampening effects and addressing the analyzer’s sensitivity to water vapor concentration under different conditions, particularly during low-flux periods. Despite these challenges, dual-isotope techniques give valuable insights into crop water use strategies and responses to environmental drivers, offer the opportunity for isotope-based flux partitioning, and give a unique dataset for validating isotope-enabled land surface models.

How to cite: Emad, A., Franke, L. O., Demir, G., Markwitz, C., Dubbert, M., and Knohl, A.: Dual-Isotope Eddy Covariance Measurements: Insights and Challenges in Ecosystem Water Flux Measurements Over Winter Wheat in Central Germany, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-16758, https://doi.org/10.5194/egusphere-egu25-16758, 2025.