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| 001 | 65888 | ||
| 003 | MX-TxCIM | ||
| 005 | 20230303165128.0 | ||
| 008 | 200224s2022 ii |||p|op||| 00| 0 eng d | ||
| 022 | _a0976-2418 | ||
| 022 | _a0976-2418 (Online) | ||
| 024 | 8 |
_ahttp://dx.doi.org/10.52151/jae2022592.1774 _qDOI is wrong in original article |
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| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_929661 _aParamaguru, P.K. |
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| 245 | 1 | 0 | _aImpact of gridded weather data sources and its temporal resolution on crop evapotranspiration and effective rainfall of major crops in eastern region of India |
| 260 |
_aIndia : _bIndian Society of Agricultural Engineers, _c2022. |
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| 500 | _aPeer review | ||
| 520 | _aSynthetic climate data are being increasingly used as key input in number of climate change impact assessment studies, hydrological assessments, and water resource management projects. The present study quantified the impact of two-gridded climate data sources [India Meteorological Department (IMD) and National Oceanic and Atmospheric Administration (NOAA) Climate Prediction Centre (CPC)] on estimation of evapotranspiration (ET) and effective rainfall (ER) of paddy (Kharifj and wheat (Rabi) crops across four agro-ecological sub-regions, and compared the results with observed station data. The effect of daily, decadal, and monthly temporal resolutions of climatic data were evaluated on ET and ER using climatological model CROPWAT 8.0. Results showed that compared to daily resolution, the monthly temporal resolution estimated significantly higher (1.7–4.0%) ET for wheat crop. Effect of temporal resolution of climate data on ER of both crops was insignificant, implying that the uncertainties in estimation of ER emanating from use of daily, decadal, or monthly temporal resolutions would be within acceptable limits. Across the locations, the CPC-based estimates of paddy ETc deviated from (−)1.3% to 21.6% of the station ET, while the deviations for wheat ET were in the range of (−)7.1% to 9.3 per cent. Significant variations from station etc were also observed for CPC (1.7 - 19.4%) and IMD [(−)34.3 - 31.1%] based ET estimates of wheat ET. The study recommends that the technological and policy research outputs based on gridded climate data products should be carefully analysed keeping in view the uncertainty accruing on account of use of gridded data products. | ||
| 546 | _aText in English | ||
| 650 | 7 |
_2AGROVOC _96146 _aWeather data |
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| 650 | 7 |
_2AGROVOC _911763 _aEvapotranspiration |
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| 650 | 7 |
_2AGROVOC _91069 _aCrops |
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| 650 | 7 |
_2AGROVOC _91234 _aRain |
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| 651 | 7 |
_2AGROVOC _93726 _aIndia |
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| 700 | 1 |
_918383 _aMali, S.S. |
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| 700 | 1 |
_92421 _aShirsath, P.B. _8I1706976 _gBorlaug Institute of South Asia |
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| 773 | 0 |
_dIndia : Indian Society of Agricultural Engineers, 2022. _gv. 59, no. 2, p. 179-192 _tJournal of Agricultural Engineering _x0256-6524 |
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| 942 |
_2ddc _cJA _n0 |
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_c65888 _d65880 |
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