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Thermally Sensitive ECOSTRESS Evapotranspiration Model Ensemble Evaluation and Development

Gregory H. Halverson (they/them)
gregory.h.halverson@jpl.nasa.gov
Lead developer and designer
NASA Jet Propulsion Laboratory 329G

Margaret C. Johnson (she/her)
maggie.johnson@jpl.nasa.gov
Sensitivity and uncertainty analysis
NASA Jet Propulsion Laboratory 398L

Madeleine Pascolini-Campbell (she/her)
madeleine.a.pascolini-campbell@jpl.nasa.gov
Model development and validation
NASA Jet Propulsion Laboratory 329F

Kerry Cawse-Nicholson (she/her)
kerry-anne.cawse-nicholson@jpl.nasa.gov
Concept development and advisement
NASA Jet Propulsion Laboratory 329G

This is the main repository for the Thermally Sensitive ECOSTRESS Evapotranspiration Model Ensemble Evaluation and Development project for NASA Research Opportunities in Space and Earth Sciences (ROSES).

Abstract

This repository hosts a unique software designed for scientific research, specifically focusing on the field of evapotranspiration remote sensing models. The software aims to address the critical need for evapotranspiration models that can accurately respond to changes in surface temperature observed at fine spatial resolution and frequent temporal resolution.

The distinguishing feature of this software is its ability to measure the error propagation of remotely sensed input variables to all major variables estimated in evapotranspiration modeling, including net radiation and soil heat flux. This capability fills a significant gap in the field as there appears to be no publicly available code that offers similar functionality.

The development and release of this software aligns with the SPD-41 open-science requirement of NASA-funded research. It is part of the Research Opportunities in Space and Earth Sciences (ROSES) project “Thermally Sensitive ECOSTRESS Evapotranspiration”. This research effort is aimed at optimizing the evapotranspiration remote sensing capabilities of the Ecosystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) and Surface Biology and Geology missions.

This software is primarily intended for scientific research as a valuable tool in the study of evapotranspiration models. The software is written in Python, making it accessible and easy to use for researchers familiar with the language.

This software stands as a pioneering tool in the field of evapotranspiration modeling, offering unique capabilities for measuring error propagation and contributing to the advancement of remote sensing research.

This software accomplishes the following:

This software facilitates experiments to measure the error propagation of evapotranspiration remote sensing models.

What problems are you trying to solve in the software?

This software is researching the need for evapotranspiration models that are sensitive to changes in surface temperature observed at fine spatial resolution and frequent temporal resolution.

What are the unique features of the software?

This software is able to measure the error propagation of remotely sensed input variables to all major variables estimated in evapotranspiration modeling, including net radiation and soil heat flux.

What improvements have been made over existing similar software application?

There does not appear to be any publicly available code for measuring the error propagation of evapotranspiration models.

Does your work relate to current or future NASA (include reimbursable) work that has value to the conduct of aeronautical and space activities? If so, please explain:

This release is following the SPD-41 open-science requirement of NASA-funded research as part of the Research Opportunities in Space and Earth Sciences (ROSES) project "Thermally Sensitive ECOSTRESS Evapotranspiration".

What advantages does this software have over existing software?

There does not appear to be any publicly available code for measuring the error propagation of evapotranspiration models.

Is anyone interested in the software? Who? Please list organization names and contact information.

  • NASA ROSES
  • ECOSTRESS
  • SBG

Are there any known commercial applications? What are they? What else is currently on the market that is similar?

This software is intended for scientific research.

What are the current hardware and operating system requirements to run the software?

This software is research code written in Python.

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