Du Jinyang, Kimball John S, Reichle Rolf H, Jones Lucas A, Watts Jennifer D, Kim Youngwook
Numerical Terradynamic Simulation Group, W.A. Franke College of Forestry and Conservation, The University of Montana, Missoula, MT 59812, USA.
NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA.
Remote Sens (Basel). 2018;10(8). doi: 10.3390/rs10081175. Epub 2018 Jun 25.
Near-surface atmospheric Vapor Pressure Deficit (VPD) is a key environmental variable affecting vegetation water stress, evapotranspiration, and atmospheric moisture demand. Although VPD is readily derived from in situ standard weather station measurements, more spatially continuous global observations for regional monitoring of VPD are lacking. Here, we document a new method to estimate daily (both a.m. and p.m.) global land surface VPD at a 25-km resolution using a satellite passive microwave remotely sensed Land Parameter Data Record (LPDR) derived from the Advanced Microwave Scanning Radiometer (AMSR) sensors. The AMSR-derived VPD record shows strong correspondence (correlation coefficient ≥ 0.80, -value < 0.001) and overall good performance (0.48 kPa ≤ Root Mean Square Error ≤ 0.69 kPa) against independent VPD observations from the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) data. The estimated AMSR VPD retrieval uncertainties vary with land cover type, satellite observation time, and underlying LPDR data quality. These results provide new satellite capabilities for global mapping and monitoring of land surface VPD dynamics from ongoing AMSR2 operations. Overall good accuracy and similar observations from both AMSR2 and AMSR-E allow for the development of climate data records documenting recent (from 2002) VPD trends and potential impacts on vegetation, land surface evaporation, and energy budgets.
近地表大气水汽压亏缺(VPD)是影响植被水分胁迫、蒸散和大气水分需求的关键环境变量。尽管VPD可从现场标准气象站测量数据中轻松得出,但缺乏用于区域VPD监测的空间连续性更好的全球观测数据。在此,我们记录了一种新方法,该方法利用源自先进微波扫描辐射计(AMSR)传感器的卫星被动微波遥感陆地参数数据记录(LPDR),以25公里的分辨率估算全球陆地表面每日(上午和下午)的VPD。与来自《现代时代回顾性研究与应用第2版》(MERRA - 2)数据的独立VPD观测结果相比,由AMSR得出的VPD记录显示出很强的相关性(相关系数≥0.80,p值<0.001)和总体良好的性能(0.48千帕≤均方根误差≤0.69千帕)。估计的AMSR VPD反演不确定性随土地覆盖类型、卫星观测时间和基础LPDR数据质量而变化。这些结果为通过正在进行的AMSR2业务对陆地表面VPD动态进行全球制图和监测提供了新的卫星能力。AMSR2和AMSR - E总体良好的准确性及相似的观测结果,有助于编制气候数据记录,记录近期(自2002年起)的VPD趋势及其对植被、陆地表面蒸发和能量收支的潜在影响。