About: Wade Crow

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

researcher, ORCID id # 0000-0002-8217-261X

Attributes	Values
rdf:type	Item
description	forskare (sv) ikertzailea (eu) 연구원 (ko) 研究者 (ja) эрдэмтэн (mn) изилдөөчү (ky) onderzoeker (nl) researcher, ORCID id # 0000-0002-8217-261X (en)
rdfs:label	Wade Crow (en) Wade Crow (es) Wade Crow (nl) Wade Crow (ast)
skos:prefLabel	Wade Crow (en) Wade Crow (es) Wade Crow (nl) Wade Crow (ast)
name	Wade Crow (en) Wade Crow (es) Wade Crow (nl) Wade Crow (ast)
Scopus author ID	wds:Q58171190-22F68F71-E2DE-42D1-AEEC-7C3CE47A5936
Scopus author ID	7005371840
instance of	wds:Q58171190-750BA430-D7CF-4C50-A695-1D4889932DC7
instance of	Homo sapiens
skos:altLabel	W T Crow (en) W. T. Crow (en) W.T. Crow (en) Wade T Crow (en) Wade T. Crow (en)
occupation	wds:Q58171190-C693F3A0-EC0E-491C-837C-B796F17981E6
DBLP author ID	wds:Q58171190-550DFE1B-0790-4DD7-AFA2-CDE46C33C6CC
DBLP author ID	https://dblp.org/pid/20/8992.rdf
occupation	researcher
DBLP author ID	20/8992
ORCID iD	wds:Q58171190-A7EBBE57-309E-4F58-96E7-D896CF2DADA8
ORCID iD	https://orcid.org/0000-0002-8217-261X
ORCID iD	0000-0002-8217-261X
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q58171190
is author of	The assimilation of remotely sensed soil brightness temperature imagery into a land surface model using Ensemble Kalman filtering: a case study based on ESTAR measurements during SGP97 Data Assimilation of High-Resolution Thermal and Radar Remote Sensing Retrievals for Soil Moisture Monitoring in a Drip-Irrigated Vineyard The Sensitivity of North American Terrestrial Carbon Fluxes to Spatial and Temporal Variation in Soil Moisture: An Analysis Using Radar‐Derived Estimates of Root‐Zone Soil Moisture A Quasi-Global Evaluation System for Satellite-Based Surface Soil Moisture Retrievals L-band microwave remote sensing and land data assimilation improve the representation of pre-storm soil moisture conditions for hydrologic forecasting. Operational hydrological forecasting during the IPHEx-IOP campaign – Meet the challenge The hydrosphere State (hydros) Satellite mission: an Earth system pathfinder for global mapping of soil moisture and land freeze/thaw Multidecadal High-Resolution Hydrologic Modeling of the Arkansas–Red River Basin Microwave implementation of two-source energy balance approach for estimating evapotranspiration. Precipitation Estimation Using L-Band and C-Band Soil Moisture Retrievals. Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using In Situ Measurements High‐Resolution Soil Moisture Data Reveal Complex Multi‐Scale Spatial Variability Across the United States The Impact of Local Acquisition Time on the Accuracy of Microwave Surface Soil Moisture Retrievals over the Contiguous United States Can Surface Soil Moisture Information Identify Evapotranspiration Regime Transitions? Estimating Corn Canopy Water Content From Normalized Difference Water Index (NDWI): An Optimized NDWI-Based Scheme and Its Feasibility for Retrieving Corn VWC An intercomparison of available soil moisture estimates from thermal infrared and passive microwave remote sensing and land surface modeling Impact of Tile Drainage on Evapotranspiration in South Dakota, USA, Based on High Spatiotemporal Resolution Evapotranspiration Time Series From a Multisatellite Data Fusion System Evaluation of the validated Soil Moisture product from the SMAP radiometer Soil Evaporation Stress Determines Soil Moisture‐Evapotranspiration Coupling Strength in Land Surface Modeling Leveraging Pre‐Storm Soil Moisture Estimates for Enhanced Land Surface Model Calibration in Ungauged Hydrologic Basins An ensemble Kalman filter dual assimilation of thermal infrared and microwave satellite observations of soil moisture into the Noah land surface model The potential of 2D Kalman filtering for soil moisture data assimilation Microwave implementation of two-source energy balance approach for estimating evapotranspiration
is author of	wds:Q89867522-3713D5B4-DF27-496D-B97A-CBE05302EC2A wds:Q117745257-6E1663D8-5704-4C69-B485-E85D440DD170 wds:Q55332371-839D8985-D6A9-48A6-AE3C-002D2ABB3BF7 wds:Q58404537-12171A70-C8D5-44B9-89A8-FB46049EF298 wds:Q64993292-583F923C-E184-45A0-B2ED-81D35EA68E81 wds:Q114650445-6DD96B7A-713D-4B50-9C38-FD53F2AC1FD1 wds:Q109719943-7FD0AD8E-479B-4331-9CCC-12BDE5D49404 wds:Q118176786-4B1FCC0B-956F-42FF-9D80-4C05D66BB510 wds:Q55519261-305CCC40-3C47-448C-B33B-6F8607420F1B wds:Q58624209-C088DB3F-B489-4586-A630-9D4C974160E7 wds:Q113175781-6E4D75A9-9C0E-4160-9191-A5857C111760 wds:Q109555683-4551A4CE-003D-4678-A98A-7E3AF52F56E6 wds:Q109556152-65B1AE78-73D0-4A7C-AA8C-B1BC3AF5A3B5 wds:Q58404471-E878D037-828B-4715-9084-D97E1CFB7B35 wds:Q61734901-AFB1145B-159F-4C79-B088-E004F76294C4 wds:Q61734926-95FD2005-B62A-4D90-B4F9-CF16E62F414D wds:Q109551185-9072c0c0-4e02-d843-afc8-6feb294eb8b7 wds:Q114166327-17A4ECE9-1723-46A0-B8A3-1FEBF663DBBD wds:Q58404547-E242264C-55F5-4AC7-986B-0FAD7DB7D5ED wds:Q58081659-8D879564-004C-4B58-A601-597249089A79 wds:Q109551615-B1EF5C70-59CB-4DBC-B61A-F537BDA9624E wds:Q58395048-54DC36A3-16CC-4DAB-BDBC-2F92B23A93E0 wds:Q109551325-443DC8DB-C2E6-40A3-90AC-576C521E52E8

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