Experimental assimilation of DIAL water vapour observations in the ECMWF global model
Experimental assimilation of DIAL water vapour observations in the ECMWF global model
复制标题
ECMWF 全球模型中 DIAL 水汽观测的实验同化
DOI：
10.1002/qj.851
复制
发表时间：
2011
影响因子：
8.9
通讯作者：
Martin Wirth
中科院分区：
文献类型：
--
作者：
Florian Harnisch;Martin Weissmann;C. Cardinali;Martin Wirth
一个独特的机载差分吸收激光雷达（DIAL）的水汽观测是在德国航天中心（DLR）开发的。该系统安装在DLR Falcon 20飞机上，在T-PARC现场活动期间测量了约3900个水蒸气剖面的数据集。这些高分辨率的湿度观测数据被同化到欧洲中期天气预报中心（ECMWF）的全球模式中，使用的是一个四维变分数据同化系统。同化系统是能够提取的信息DIAL观测，并与独立的投下式探空仪观测验证显示，减少分析误差时，DIAL水汽观测同化。湿度观测对预报的影响在大多数情况下是很小的，但在某些条件下，观测能够影响预报相当大。通过湿度模式场、DIAL和下投式探空仪观测值之间的比较，研究了系统误差。总的来说，DIAL观测比整个对流层的模式场干燥大约7-10%。与投下式探空仪观测结果的比较表明，DIAL观测结果在对流层低层过于干燥，但在对流层以上则不然。
A unique airborne differential absorption lidar (DIAL) for water vapour observations was developed at the Deutsches Zentrum für Luft‐ und Raumfahrt (DLR). Installed on board the DLR Falcon 20 aircraft, the system measured a dataset of about 3900 water vapour profiles during the T‐PARC field campaign. These high‐resolution humidity observations were assimilated into the European Centre for Medium‐Range Weather Forecasts (ECMWF) global model using a version of the operational four‐dimensional variational data assimilation system. The assimilation system is able to extract the information for DIAL observations, and verification with independent dropsonde observations shows a reduction in the analysis error when DIAL water vapour observations are assimilated. The forecast influence of the humidity observations is found to be small in most cases, but the observations are able to affect the forecast considerably under certain conditions. Systematic errors are investigated by comparison between humidity model fields, DIAL and dropsonde observations. Overall, DIAL observations are roughly 7–10% drier than model fields throughout the troposphere. Comparison with dropsonde observations suggests that the DIAL observations are too dry in the lower troposphere but not above it. Copyright © 2011 Royal Meteorological Society
影响因子：
2.2
作者：
A. Schäfler;A. Dörnbrack;C. Kiemle;S. Rahm;M. Wirth
通讯作者：
A. Schäfler;A. Dörnbrack;C. Kiemle;S. Rahm;M. Wirth
影响因子：
1.2
作者：
F. Zus;Matthias Grzeschik;H. Bauer;V. Wulfmeyer;G. Dick;M. Bender
通讯作者：
F. Zus;Matthias Grzeschik;H. Bauer;V. Wulfmeyer;G. Dick;M. Bender