Global precipitation measurements for validating climate models
| Autor: | Chris Kidd, Vincenzo Levizzani, José Luis Sánchez, Walter A. Petersen, F. J. Turk, Paul A. Kucera, W.-K. Tao, Andrés Navarro, Chris Kummerow, Francisco J. Tapiador, Eduardo García-Ortega, Rémy Roca, George J. Huffman, Hirohiko Masunaga |
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| Rok vydání: | 2017 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Meteorology Computer science business.industry satellite 0208 environmental biotechnology 02 engineering and technology precipitation 01 natural sciences 020801 environmental engineering Atmospheric Infrared Sounder Regional Atmospheric Modeling System PERSIANN IPCC Fifth Assessment Report Gprof Climate model business climate Quality assurance Global Precipitation Measurement 0105 earth and related environmental sciences |
| Zdroj: | Atmospheric research 197 (2017): 1–20. doi:10.1016/j.atmosres.2017.06.021 info:cnr-pdr/source/autori:Francisco J. Tapiador, Andrés Navarro, Vincenzo Levizzani, Eduardo García-Ortegac, GeorgeJ. Huffmand, Chris Kiddd, Paul A. Kucera, Christian D. Kummerow, Hiroiko Masunaga, Walt A. Petersen, Rémy Roca, Jose-Luis Sánchez, Wei-Kuo Tao, F. Joseph Turk/titolo:Global precipitation measurements for validating climate models/doi:10.1016%2Fj.atmosres.2017.06.021/rivista:Atmospheric research (Print)/anno:2017/pagina_da:1/pagina_a:20/intervallo_pagine:1–20/volume:197 |
| ISSN: | 0169-8095 |
| DOI: | 10.1016/j.atmosres.2017.06.021 |
| Popis: | The advent of global precipitation data sets with increasing temporal span has made it possible to use them for validating climate models. In order to fulfill the requirement of global coverage, existing products integrate satellite-derived retrievals from many sensors with direct ground observations (gauges, disdrometers, radars), which are used as reference for the satellites. While the resulting product can be deemed as the best-available source of quality validation data, awareness of the limitations of such data sets is important to avoid extracting wrong or unsubstantiated conclusions when assessing climate model abilities. This paper provides guidance on the use of precipitation data sets for climate research, including model validation and verification for improving physical parameterizations. The strengths and limitations of the data sets for climate modeling applications are presented, and a protocol for quality assurance of both observational databases and models is discussed. The paper helps elaborating the recent IPCC AR5 acknowledgment of large observational uncertainties in precipitation observations for climate model validation. |
| Databáze: | OpenAIRE |
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