R. Reichle, Qing Liu, J. Ardizzone, W. Crow, Gabrielle J. M. De Lannoy, J. Kimball, R. Koster
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引用次数: 0
摘要
NASA主动被动土壤湿度(SMAP)任务4级土壤湿度(L4_SM)产品提供2015年4月至今的全球9公里分辨率、每3小时的地表和根区土壤湿度,平均延迟时间为2.5天。L4_SM算法将SMAP l波段(1.4 GHz)亮度温度(Tb)观测数据同化到NASA集水区地表模型中,因为该模型是由观测降水驱动的。本文描述并评估了从L4_SM版本6开始的L4_SM算法中,来自NASA综合多卫星检索全球降水测量(IMERG)产品的基于卫星和基于仪表的降水的使用。具体来说,IMERG有两种使用方式:(1) L4_SM降水参考气气学主要基于IMERG- final (Version 06B)数据,取代了以前L4_SM版本中使用的全球降水气气学项目2.2版本数据;(2)对北美和高纬度地区以外的降水强迫进行了校正,以匹配IMERG的日总量,取代了早期L4_SM版本中使用的仅仪表、每日产品或未经校正的天气分析降水。IMERG降水的使用使L4_SM表层土壤湿度的异常时间序列相关系数(相对于独立卫星估计)在全球平均水平上提高了0.03,在南美洲、非洲、澳大利亚和东亚部分地区提高了~ 0.3,这些地区早期L4_SM版本中使用的仅仪表降水产品的质量较差。这些改进还将Tb观测减去预测残差的时间序列标准差从L4_SM版本5的5.5 K降低到版本6的5.1 K。
IMERG Precipitation Improves the SMAP Level-4 Soil Moisture Product
The NASA Soil Moisture Active Passive (SMAP) mission Level-4 Soil Moisture (L4_SM) product provides global, 9-km resolution, 3-hourly surface and root-zone soil moisture from April 2015 to present with a mean latency of 2.5 days from the time of observation. The L4_SM algorithm assimilates SMAP L-band (1.4 GHz) brightness temperature (Tb) observations into the NASA Catchment land surface model as the model is driven with observation-based precipitation. This paper describes and evaluates the use of satellite- and gauge-based precipitation from the NASA Integrated Multi-satellitE Retrievals for the Global Precipitation Measurement (IMERG) products in the L4_SM algorithm beginning with L4_SM Version 6. Specifically, IMERG is used in two ways: (i) The L4_SM precipitation reference climatology is primarily based on IMERG-Final (Version 06B) data, replacing the Global Precipitation Climatology Project version 2.2 data used in previous L4_SM versions, and (ii) the precipitation forcing outside of North America and the high latitudes is corrected to match the daily totals from IMERG, replacing the gauge-only, daily product or uncorrected weather analysis precipitation used there in earlier L4_SM versions. The use of IMERG precipitation improves the anomaly time series correlation coefficient of L4_SM surface soil moisture (versus independent satellite estimates) by 0.03 in the global average and by up to ∼0.3 in parts of South America, Africa, Australia, and East Asia, where the quality of the gauge-only precipitation product used in earlier L4_SM versions is poor. The improvements also reduce the time series standard deviation of the Tb observation-minus-forecast residuals from 5.5 K in L4_SM Version 5 to 5.1 K in Version 6.
期刊介绍:
The Journal of Hydrometeorology (JHM) (ISSN: 1525-755X; eISSN: 1525-7541) publishes research on modeling, observing, and forecasting processes related to fluxes and storage of water and energy, including interactions with the boundary layer and lower atmosphere, and processes related to precipitation, radiation, and other meteorological inputs.