Posters

HS6.5

Ensuring long-term water sustainability for increasing human populations is a common goal for water resource managers. Measuring evapotranspiration (ET) at watershed or river-reach scales, upland or urban areas is required to estimate how much water can be apportioned for human needs while maintaining healthy vegetation and habitat for wildlife.
Consequently, much research has been devoted to this topic. However although there have been many advances in meteorological equipment and observations, more universal recognition of the impact of climate and land cover changes on evaporation and hydrology, and the increased accessibility of many parts of the world, evaporation from much of the globe remains elusive to quantify. This is particularly true in areas with few meteorological observations, in regions where precipitation is particularly hard to predict such as in arid and semi-arid or mountain environments. ET measurements are often made on local scales, but scaling up has been problematic due to spatial and temporal variability.
There are challenges associated with handling temporal variability over complex agro-climatic regions and in places with strong effects of unpredictable climate oscillations. For instance, crop/plant coefficients vary seasonally, particularly for riparian, upland vegetation, and urban greenery; traditional approaches of ET estimation commonly neglect the heterogeneity of microclimate, density, species, and phenology that have often led to gross overestimates of plant water use.
In this session, we want to focus on quantifying evapotranspiration dynamics in diverse climates and environments as a tool for improving hydrologic assessments and predictions at a catchment scale. Remote sensing products in many cases are the only spatially distributed information available to account for seasonal climate and vegetation variability and are thus extremely valuable data sources for ET estimation on larger scales.
We invite researchers to contribute theoretical and empirical ET model applications for a variety of dryland vegetation associations and other sensitive environments. We welcome studies that estimate ET using both prognostic and diagnostic approaches from process-based models that rely on the integration of precipitation and soil-vegetation dynamics to a more direct estimation of ET using e.g. remote sensing based data streams. Applications in drought-prone forests, rangelands, mountain and urban areas at a range of spatial and temporal scales are encouraged.

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Co-organized as BG1.44/ESSI1.12/GI3.12
Convener: Pamela Nagler | Co-conveners: Claire Brenner, Chris Jarchow, Hamideh Nouri, Gabriel Senay, Natalie Ceperley, Mathew Herrnegger
Orals
| Fri, 12 Apr, 14:00–15:45, 16:15–18:00
 
Room B
Posters
| Attendance Fri, 12 Apr, 10:45–12:30
 
Hall A

Attendance time: Friday, 12 April 2019, 10:45–12:30 | Hall A

Chairperson: Christopher Jarchow; Hamideh Nouri; Natalie Ceperley; Mathew Herrnegger
A.95 |
EGU2019-7654
Blue and green water footprint of agriculture in Peshawar basin, Pakistan
(withdrawn)
Tariq Khan, Hamideh Nouri, Martijn J. Booij, Arjen Y. Hoekstra, Hizbullah Khan, and Ihsan Ullah
A.96 |
EGU2019-2585
Pamela Nagler, Christopher Jarchow, Armando Barreto Munez, and Kamel Didan
A.98 |
EGU2019-3483
Yanmin Yang, Xinyao Zhou, Yonghui Yang, Shaojie Bi, Xihua Yang, and De Li Liu
A.103 |
EGU2019-8219
Joost Buitink and Adriaan J. Teuling
A.104 |
EGU2019-9363
Thomas Lees, Jian Peng, Simon Dadson, and Steven Reece
A.105 |
EGU2019-10101
Giulia Zuecco, Michele Bottazzi, Alessandro Errico, and Marialaura Bancheri
A.107 |
EGU2019-13563
Hamideh Nouri, Pamela Nagler, Sattar Chavoshi Borujeni, Christopher Jarchow, Armando Barreto Munez, and Kamel Didan
A.108 |
EGU2019-15462
Giuseppe Peschechera, Nicola Lamaddalena, and Umberto Fratino
A.109 |
EGU2019-2487
Behnaz (Badieh) Noori, Hamideh Nouri, and Pamela Nagler
A.110 |
EGU2019-15047
Nicola Paciolla, Chiara Corbari, Chaolei Zheng, Massimo Menenti, Jia Li, and Marco Mancini