Thu Apr 10, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Medvedev, A. I., Stepanenko, V. M., and Bogomolov, V. Yu., 2024. Influence of External Parameters on Evapotranspiration in the INM RAS–MSU Land Surface Model. Russian Metallurgy, 49(5):420–429, doi:10.3103/S1068373924050054.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024RuMH...49..420M,
author = {{Medvedev}, A.~I. and {Stepanenko}, V.~M. and {Bogomolov}, V. Yu.},
title = "{Influence of External Parameters on Evapotranspiration in the INM RAS{\textendash}MSU Land Surface Model}",
journal = {Russian Metallurgy},
keywords = {INM RAS{\textendash}MSU land surface model, evapotranspiration, GRACE, medium-sized watersheds of European Russia},
year = 2024,
month = may,
volume = {49},
number = {5},
pages = {420-429},
abstract = "{The paper investigates the sensitivity of evapotranspiration in the INM
RAS{\textendash}MSU land surface model to the changes in the
weights of land surface classes in the cells of the latitude-
longitude grid and the leaf area index LAI. It is demonstrated
that the refinement of the values of the mentioned parameters
based on modern observational data significantly reduces an
error in evapotranspiration. The annual sum of
evapotranspiration averaged over 10 years
(2002{\textendash}2012) from the surface of medium-sized
(2‑50{\texttimes}{}10$^{3}$ km$^{2}$) watersheds of northern
European Russia is used for the analysis. The model error has
been calculated against the empirical estimates of
evapotranspiration obtained from the watershed water balance
equation. As an intermediate task, the accuracy of satellite
data on terrestrial water storage used in the calculations is
assessed by the comparison with the data of snow route surveys.}",
doi = {10.3103/S1068373924050054},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024RuMH...49..420M},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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