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quality control methodology using AIRS/AMSU data: The AIRS Science Team Version 5 retrieval algorithm . IEEE Trans. Geosci. Remote Sens. , 49 , 883 – 907 , doi:10.1109/TGRS.2010.2070508 . Taylor, C. M. , and Ellis R. J. , 2006 : Satellite detection of soil moisture impacts on convection at the mesoscale . Geophys. Res. Lett. , 33 , L03404 , doi:10.1029/2005GL025252 . Thorne, P. W. , and Vose R. S. , 2010 : Reanalyses suitable for characterizing long-term trends are they really
quality control methodology using AIRS/AMSU data: The AIRS Science Team Version 5 retrieval algorithm . IEEE Trans. Geosci. Remote Sens. , 49 , 883 – 907 , doi:10.1109/TGRS.2010.2070508 . Taylor, C. M. , and Ellis R. J. , 2006 : Satellite detection of soil moisture impacts on convection at the mesoscale . Geophys. Res. Lett. , 33 , L03404 , doi:10.1029/2005GL025252 . Thorne, P. W. , and Vose R. S. , 2010 : Reanalyses suitable for characterizing long-term trends are they really
model data from irrigated and control simulations allows for the isolation of ET resulting from irrigation. In this manner, an estimate of precipitation that results exclusively from ET over irrigated fields, hereafter referred to as “irrigation-induced precipitation,” can be determined and placed in context with previous observational and modeling studies. The tracing of irrigated water from evapotranspiration to precipitation also allows for insight into the influence of irrigation on
model data from irrigated and control simulations allows for the isolation of ET resulting from irrigation. In this manner, an estimate of precipitation that results exclusively from ET over irrigated fields, hereafter referred to as “irrigation-induced precipitation,” can be determined and placed in context with previous observational and modeling studies. The tracing of irrigated water from evapotranspiration to precipitation also allows for insight into the influence of irrigation on
Distributed Model Intercomparison Project (DMIP): Motivation and experiment design . J. Hydrology , 298 , 4 – 26 . Steiner, M. , Smith J. A. , Burges S. J. , Alonso C. V. , and Darden R. W. , 1999 : Effects of bias adjustment and rain gauge data quality control on radar rainfall . Water Resour. Res. , 35 , 2487 – 2503 . Tang, Q. , Vivoni E. R. , Muñoz-Arriola F. , and Lettenmaier D. P. , 2012 : Predictability of evapotranspiration patterns using remotely sensed vegetation
Distributed Model Intercomparison Project (DMIP): Motivation and experiment design . J. Hydrology , 298 , 4 – 26 . Steiner, M. , Smith J. A. , Burges S. J. , Alonso C. V. , and Darden R. W. , 1999 : Effects of bias adjustment and rain gauge data quality control on radar rainfall . Water Resour. Res. , 35 , 2487 – 2503 . Tang, Q. , Vivoni E. R. , Muñoz-Arriola F. , and Lettenmaier D. P. , 2012 : Predictability of evapotranspiration patterns using remotely sensed vegetation
atmospheric response to irrigation in the Great Plains. Part II: The precipitation of irrigated water and changes in precipitation recycling . J. Hydrometeor. , 13 , 1686 – 1702 . Higgins, R. W. , Shi W. , Yarosh E. , and Joyce R. , 2000 : Improved United States precipitation quality control system and analysis. NCEP/Climate Prediction Center ATLAS 7, 40 pp . Hong, S. B. , Lakshmi V. , Small E. E. , Chen F. , Tewari M. , and Manning K. W. , 2009 : Effects of vegetation and soil
atmospheric response to irrigation in the Great Plains. Part II: The precipitation of irrigated water and changes in precipitation recycling . J. Hydrometeor. , 13 , 1686 – 1702 . Higgins, R. W. , Shi W. , Yarosh E. , and Joyce R. , 2000 : Improved United States precipitation quality control system and analysis. NCEP/Climate Prediction Center ATLAS 7, 40 pp . Hong, S. B. , Lakshmi V. , Small E. E. , Chen F. , Tewari M. , and Manning K. W. , 2009 : Effects of vegetation and soil
and was directly measured at Gaize using a thermometer, with half of the sensor buried in the soil and half exposed to the air ( Chen et al. 2010 ). The T s uncertainty is 2°–3°C. While all T s data at Desert Rock are of good quality, the T s data at Gaize are found to be inconsistent with other observed variables for some hours of the 11 days during 3–31 May 1998 (e.g., increasing T s associated with abrupt decrease of downward solar flux during the day). Therefore only the remaining 18
and was directly measured at Gaize using a thermometer, with half of the sensor buried in the soil and half exposed to the air ( Chen et al. 2010 ). The T s uncertainty is 2°–3°C. While all T s data at Desert Rock are of good quality, the T s data at Gaize are found to be inconsistent with other observed variables for some hours of the 11 days during 3–31 May 1998 (e.g., increasing T s associated with abrupt decrease of downward solar flux during the day). Therefore only the remaining 18
