HS10.2 | Estimating evapotranspiration using in-situ and remote sensing methods
Estimating evapotranspiration using in-situ and remote sensing methods
Co-organized by BG3
Convener: Sibylle K. Hassler | Co-conveners: Hamideh Nouri, Neda AbbasiECSECS, Ana Andreu, Jannis GrohECSECS, Pamela Nagler, Corinna Rebmann
Orals
| Mon, 24 Apr, 08:30–12:30 (CEST)
 
Room 3.16/17
Posters on site
| Attendance Mon, 24 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Attendance Mon, 24 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Mon, 08:30
Posters on site |
Mon, 14:00
Posters virtual
Mon, 14:00
Evapotranspiration (ET) is the key water flux at the interface of soil, vegetation and atmosphere. ET is difficult to measure directly, therefore a range of methods have been developed within different research disciplines to estimate ET. These methods cover different scales and contain measurement-specific uncertainties.

In-situ measurements include for example lysimeters, sap flow sensors, eddy covariance stations, scintillometers and approaches like the Bowen ratio method and others to estimate ET from ground-based measurements. However, estimating and scaling in-situ ET is prone to large method-specific uncertainties which are rarely communicated across the different disciplines. This is problematic if in-situ measurements are to be compared, combined or scaled up to match the grid resolution of remote sensing products or models.

Remote sensing of actual ET needs to be estimated and precisely mapped due to the broadening scope in the demand for more accurate and longer-term ET estimation in different fields of hydrology, water management, agriculture, forestry, and urban greening. Over the last five decades, numerous spaceborne and airborne sensors have been used to model, map, monitor and forecast ET at different spatiotemporal scales in various climates and eco-geographical regions for a range of vegetative land covers. Recent advances in image processing and artificial intelligence (machine learning, deep learning, etc.), as well as the growing number of satellites and sensors, have improved the accessibility and quality of images, which open more avenues for regular updating and upscaling.

This session addresses ET estimation with both in-situ and remote sensing methods. We invite contributions that (1) assess and compare established and new in-situ and remote sensing ET estimates, (2) evaluate and enhance accuracy, and address uncertainty in the respective methods, (3) bridge spatio-temporal scales in the different ET estimates or (4) incorporate remote sensing and in-situ measurements into process-based modelling approaches.

Orals: Mon, 24 Apr | Room 3.16/17

Chairpersons: Sibylle K. Hassler, Jannis Groh, Corinna Rebmann
In-situ methods to estimate ET
EGU23-7847
|
solicited
|
On-site presentation
Measuring and Modelling Evapotranspiration over Complex Terrain
Oscar Hartogensis et al.
EGU23-14383
|
ECS
|
Virtual presentation
Transpiration of Acacia plantations in a managed tropical peatland Sumatra, Indonesia
Yogi Suardiwerianto et al.
09:20–09:30
Discussion
10:00–10:15
Discussion
Coffee break
Chairpersons: Ana Andreu, Neda Abbasi, Corinna Rebmann
11:15–11:25
Discussion
Remote sensing methods to estimate ET
EGU23-12253
|
ECS
|
On-site presentation
GLEAM-HR: current state and future prospects
Petra Hulsman et al.
EGU23-8428
|
ECS
|
On-site presentation
Large scale two-source energy balance modelling of evapotranspiration over Mediterranean region
Paulina Bartkowiak et al.
EGU23-9385
|
ECS
|
On-site presentation
A novel method for actual evapotranspiration from a soil moisture optical trapezoid model
Ali Mokhtari et al.
12:15–12:30
Discussion

Posters on site: Mon, 24 Apr, 14:00–15:45 | Hall A

Chairpersons: Sibylle K. Hassler, Ana Andreu, Jannis Groh
In-situ methods to estimate ET
EGU23-7856
|
ECS
|
On-site presentation
Quantification of soil water balance components based on lysimeter measurements
Dóra Incze et al.
EGU23-16933
|
On-site presentation
Air-Water Interactions Along the Dead Sea Rift
Nadav G. Lensky et al.
Remote sensing methods to estimate ET
EGU23-11996
|
ECS
|
On-site presentation
Towards sub-daily satellite-based interception loss estimates
Emma Tronquo et al.

Posters virtual: Mon, 24 Apr, 14:00–15:45 | vHall HS

Chairpersons: Hamideh Nouri, Pamela Nagler