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Performance of the WRF model to simulate the seasonal and interannual variability of hydrometeorological variables in East Africa: a case study for the Tana River basin in Kenya

机译：WRF模型在模拟东非水文气象变量的季节和年际变化方面的性能：以肯尼亚塔纳河流域为例

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摘要

This study investigates the ability of the regional climate model Weather Research and Forecasting (WRF) in simulating the seasonal and interannual variability of hydrometeorological variables in the Tana River basin (TRB) in Kenya, East Africa. The impact of two different land use classifications, i.e., the Moderate Resolution Imaging Spectroradiometer (MODIS) and the US Geological Survey (USGS) at two horizontal resolutions (50 and 25 km) is investigated. Simulated precipitation and temperature for the period 2011-2014 are compared with Tropical Rainfall Measuring Mission (TRMM), Climate Research Unit (CRU), and station data. The ability of Tropical Rainfall Measuring Mission (TRMM) and Climate Research Unit (CRU) data in reproducing in situ observation in the TRB is analyzed. All considered WRF simulations capture well the annual as well as the interannual and spatial distribution of precipitation in the TRB according to station data and the TRMM estimates. Our results demonstrate that the increase of horizontal resolution from 50 to 25 km, together with the use of the MODIS land use classification, significantly improves the precipitation results. In the case of temperature, spatial patterns and seasonal cycle are well reproduced, although there is a systematic cold bias with respect to both station and CRU data. Our results contribute to the identification of suitable and regionally adapted regional climate models (RCMs) for East Africa.
机译：这项研究调查了区域气候模型天气预报和天气预报（WRF）在模拟东非肯尼亚塔纳河流域（TRB）的水文气象变量的季节和年际变化方面的能力。研究了两种不同的土地利用类别（即中等分辨率成像光谱仪（MODIS）和美国地质调查局（USGS））在两个水平分辨率（50和25 km）下的影响。将2011-2014年期间的模拟降水和温度与热带雨量测量任务（TRMM），气候研究组（CRU）和气象站数据进行了比较。分析了热带雨量测量任务（TRMM）和气候研究单位（CRU）数据在TRB中再现原位观测的能力。根据站台数据和TRMM估计，所有考虑的WRF模拟都很好地捕获了TRB中降水的年度以及年际和空间分布。我们的结果表明，将水平分辨率从50 km增加到25 km，再加上使用MODIS土地利用分类，可以显着改善降水结果。在温度的情况下，尽管对测站和CRU数据都有系统的冷偏差，但可以很好地再现空间模式和季节周期。我们的结果有助于为东非确定合适的和适应当地情况的区域气候模型（RCM）。

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  • 来源
    《Theoretical and applied climatology》 |2017年第2期|401-418|共18页
  • 作者

    Kerandi Noah Misati; Laux Patrick; Arnault Joel; Kunstmann Harald;

  • 作者单位

    Karlsruhe Inst Technol, Inst Meteorol & Climate Res IMK IFU, Campus Alpin,Kreuzeckbahnstr 19, D-82467 Garmisch Partenkirchen, Germany|Univ Augsburg, Inst Geog, Alter Postweg 118, D-86135 Augsburg, Germany|South Eastern Kenya Univ, Inst Mineral Proc & Min, POB 170-90200, Kitui, Kenya;

    Karlsruhe Inst Technol, Inst Meteorol & Climate Res IMK IFU, Campus Alpin,Kreuzeckbahnstr 19, D-82467 Garmisch Partenkirchen, Germany|Univ Augsburg, Inst Geog, Alter Postweg 118, D-86135 Augsburg, Germany;

    Karlsruhe Inst Technol, Inst Meteorol & Climate Res IMK IFU, Campus Alpin,Kreuzeckbahnstr 19, D-82467 Garmisch Partenkirchen, Germany;

    Karlsruhe Inst Technol, Inst Meteorol & Climate Res IMK IFU, Campus Alpin,Kreuzeckbahnstr 19, D-82467 Garmisch Partenkirchen, Germany|Univ Augsburg, Inst Geog, Alter Postweg 118, D-86135 Augsburg, Germany;

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