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Performance assessment of evapotranspiration estimated from different data sources over agricultural landscape in Northern India

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F20%3A82187" target="_blank" >RIV/60460709:41330/20:82187 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/article/10.1007%2Fs00704-019-03076-4" target="_blank" >https://link.springer.com/article/10.1007%2Fs00704-019-03076-4</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00704-019-03076-4" target="_blank" >10.1007/s00704-019-03076-4</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Performance assessment of evapotranspiration estimated from different data sources over agricultural landscape in Northern India

  • Original language description

    Accurate estimation of evapotranspiration is generally constrained due to lack of required hydrometeorological datasets. This study addresses the performance analysis of reference evapotranspiration (ETo) estimated from NASA/POWER, National Center for Environmental Prediction (NCEP) global reanalysis data before and after dynamical downscaling through the Weather Research and Forecasting (WRF) model. The state-of-the-art Hamons and Penman-Monteiths methods were utilized for the ETo estimation in the Northern India. The performance indices such as bias, root mean square error (RMSE), and correlation (r) were calculated, which showed the values 0,242, 0,422, and 0,959 for NCEP data (without downscaling) and 0,230, 0,402, and 0,969 for the downscaled data respectively. The results indicated that after WRF downscaling, there was some marginal improvement found in the ETo as compared to the without downscaling datasets. However, a better performance was found in the case of NASA/POWER datasets with bias,

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10501 - Hydrology

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Theoretical and Applied Climatology

  • ISSN

    0177-798X

  • e-ISSN

    1434-4483

  • Volume of the periodical

    140

  • Issue of the periodical within the volume

    1-2

  • Country of publishing house

    AT - AUSTRIA

  • Number of pages

    12

  • Pages from-to

    145-156

  • UT code for WoS article

    000521505600011

  • EID of the result in the Scopus database

    2-s2.0-85077520211