首页> 外文OA文献 >Improving estimated soil moisture fields through assimilation of AMSR-E soil moisture retrievals with an ensemble Kalman filter and a mass conservation constraint

【2h】

Improving estimated soil moisture fields through assimilation of AMSR-E soil moisture retrievals with an ensemble Kalman filter and a mass conservation constraint

机译：通过集合卡尔曼滤波器和质量守恒约束，通过同化amsR-E土壤水分回收来改善估计的土壤湿度场

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
B. Li; D. Toll; X. Zhan; B. Cosgrove;
展开▼
作者单位

展开▼
年度 2012
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Improving estimated soil moisture fields through assimilation of AMSR-E soil moisture retrievals with an ensemble Kalman filter and a mass conservation constraint [J] . Li B., Toll D., Zhan X., Hydrology and Earth System Sciences . 2012,第1期

机译：通过集成卡尔曼滤波器和质量守恒约束对AMSR-E土壤水分反演进行同化来改善估计的土壤水分场
2. Improving estimated soil moisture fields through assimilation of AMSR-E soil moisture retrievals with an ensemble Kalman filter and a mass conservation constraint [J] . Li B., Toll D., Zhan X., Hydrology and Earth System Sciences Discussions . 2012,第1期

机译：通过集成卡尔曼滤波器和质量守恒约束对AMSR-E土壤水分反演进行同化来改善估计的土壤水分场
3. Improving estimated soil moisture fields through assimilation of AMSR-E soil moisture retrievals with an ensemble Kalman filter and a mass conservation constraint [J] . B.Li, D.Toll, X.Zhan, Hydrology and Earth System Sciences . 2012,第1期

机译：通过集成卡尔曼滤波器和质量守恒约束对AMSR-E土壤水分反演进行同化来改善估计的土壤水分场
4. RESULTS FROM ASSIMILATING AMSR-E SOIL MOISTURE ESTIMATES INTO A LAND SURFACE MODEL USING AN ENSEMBLE KALMAN FILTER IN THE LAND INFORMATION SYSTEM (LIS) [C] . Clay B. Blankenship, William L. Crosson, Jonathan L. Case, American Meteorological Society annual meeting . 2010

机译：使用土地信息系统（LIS）中的可卡曼滤波将AMSR-E土壤水分同化到土地表面模型的结果
5. Soil moisture data assimilation at multiple scales and estimation of representative field scale soil moisture characteristics. [D] . Han, Eunjin. 2011

机译：多尺度土壤水分数据同化和代表性田间尺度土壤水分特征的估算。
6. Evaluation of the predicted error of the soil moisture retrieval from C-band SAR by comparison against modelled soil moisture estimates over Australia [O] . Marcela Doubková, Albert I.J.M. Van Dijk, Daniel Sabel, -1

机译：通过与澳大利亚的模型土壤湿度估算值进行比较评估从C波段SAR取回土壤水分的预测误差
7. Improving estimated soil moisture fields through assimilation of AMSR-E soil moisture retrievals with an ensemble Kalman filter and a mass conservation constraint [O] . B. Li, D. Toll, X. Zhan, 2012

机译：通过集成卡尔曼滤波器和质量守恒约束，通过吸收AMSR-E土壤水分反演来改善估计的土壤水分场
8. Improving Simulated Soil Moisture Fields Through Assimilation of AMSR-E Soil Moisture Retrievals with an Ensemble Kalman Filter and a Mass Conservation Constraint [R] . Li, B., Toll, D., Zhan, X., 2011

机译：利用集合卡尔曼滤波和质量守恒约束同化amsR-E土壤水分反演改善模拟土壤水分

Improving estimated soil moisture fields through assimilation of AMSR-E soil moisture retrievals with an ensemble Kalman filter and a mass conservation constraint

著录项

引文网络

相似文献

相关主题

期刊订阅