Radar for hydrology: Unfulfilled promise or unrecognized potential? |
| |
| Institution: | 1. Environmental Remote Sensing Laboratory, École Polytechnique Fédérale de Lausanne, Switzerland;2. IIHR-Hydroscience & Engineering, The University of Iowa, Iowa City, USA;1. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Huayanli 40#, Chaoyang District, Beijing, China;2. Atmospheric Science and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA;3. Department of Atmospheric Science, University of Wyoming, Laramie, WY, USA;1. Cooperative Institute for Research in the Environmental Sciences (CIRES), University of Colorado at Boulder, CO, USA;2. National Center for Atmospheric Research (NCAR), Research Applications Laboratory (RAL), Boulder, CO, USA;3. National Oceanic and Atmospheric Administration (NOAA), Earth Systems Research Laboratory (ESRL), Boulder, CO, USA;1. Department of Physics and Astronomy, Curtin University, GPO Box U1987, Perth, Western Australia, 6845, Australia;2. Formerly Department of Environment Regulation (DER), Government of Western Australia, Australia;3. Aeolius Wind Systems Pty Ltd, Australia |
| |
| Abstract: | Hydrology requires accurate and reliable rainfall input. Because of the strong spatial and temporal variability of precipitation, estimation of spatially distributed rain rates is challenging. Despite the fact that weather radars provide high-resolution (but indirect) observations of precipitation, they are not used in hydrological applications as extensively as one could expect. The goal of the present review paper is to investigate this question and to provide a clear view of the opportunities (e.g., for flash floods, urban hydrology, rainfall spatial extremes) the limitations (e.g., complicated error structure, need for adjustment) and the challenges for the use of weather radar in hydrology (i.e., validation studies, precipitation forecasting, mountainous precipitation, error propagation in hydrological models). |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
