首页> 外文期刊>Advances in Geosciences >3DVAR assimilation of SSM/I data over the sea for the IOP2b MAP case
【24h】

3DVAR assimilation of SSM/I data over the sea for the IOP2b MAP case

机译:IOP2b MAP情况下,海上SSM / I数据的3DVAR同化

获取原文
           

摘要

Data assimilation by 3DVAR of data from the Special Sensor Microwave/Imager (SSM/I)has been performed to study the IOP2b case (19-21 September 1999) of theMesoscale Alpine Programme (MAP). Only data over the sea surface are used to avoidthe contamination of the surface emissivity. Moreover, the rainy data are filtered outbecause the assimilation algorithm of 3DVAR does not take into account the scatteringprocesses. SSM/I data are assimilated in two different ways:as Brightness Temperature directly, or as Precipitable Water and surfacewind speed retrieved from the Brightness Temperature. The effect of thethinning of the observations has been studied and a set of sensitivity test caseshas been carried out; the one by one removal of the SSM/I frequenciesfrom the initial dataset allows to evaluate their impact on the Initial Conditions.A few experiments are performed using these new Initial Conditionsto initialize the MM5 (PSU/NCAR) model.The results show that the assimilation of the retrieved quantities, i.e. PrecipitableWater and surface wind speed, does not produces large improvement in theInitial Conditions.Vice versa, the assimilation of the Brightness temperatures producesa large variability of the Initial Conditions. The forecast experiments show thatthe model is very sensitive to the 22GHz and 37GHz frequencies.
机译:已经对来自特殊传感器微波/成像器(SSM / I)的数据进行3DVAR数据同化,以研究中规模高山计划(MAP)的IOP2b案(1999年9月19-21日)。仅使用海面的数据来避免表面发射率的污染。此外,由于3DVAR的同化算法未考虑散射过程,因此滤除了多雨数据。 SSM / I数据以两种不同的方式进行同化:直接作为亮度温度,或作为从亮度温度获取的可降水量和地表风速。研究了变薄观测的效果,并进行了一组敏感性测试案例;从初始数据集中一个接一个地去除SSM / I频率可以评估它们对初始条件的影响。使用这些新的初始条件进行了一些实验,以初始化MM5(PSU / NCAR)模型。结果表明,同化反演的数量,即可降水量的水和地表风速,在初始条件下不会产生很大的改善。反之,亮度温度的同化会在初始条件下产生很大的变化。预测实验表明,该模型对22GHz和37GHz频率非常敏感。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号