Potential of remote sensing surface temperature- and evapotranspiration-based land-atmosphere coupling metrics for land surface model calibration
文献类型：期刊论文
| 作者 | Zhou, Jianhong; Yang, Kun1; Dong, Jianzhi7; Zhao, Long6; Feng, Huihui5; Zou, Mijun4; Lu, Hui; Tang, Ronglin3; Jiang, Yaozhi; Crow, Wade T. |
| 刊名 | REMOTE SENSING OF ENVIRONMENT
 |
| 出版日期 | 2023-06-01 |
| 卷号 | 291页码:113557 |
| 关键词 | Land-atmosphere coupling Soil moisture Land surface temperature Evapotranspiration Land surface model Model calibration |
| DOI | 10.1016/j.rse.2023.113557 |
| 文献子类 | Article |
| 英文摘要 | Imperfect land physics introduce significant levels of uncertainty into current land surface models (LSMs) and can cause bias in their representation of land-atmosphere coupling strength (rho). When LSMs are coupled with atmospheric prediction models, such errors will eventually degrade the accuracy of lower atmosphere forecasts. Here, we investigate the potential of two remote sensing (RS)-based rho references for addressing LSM rho bias. To minimize meteorological uncertainty and maximally attribute LSM rho bias to land sources, we focus specifically on off-line LSM calibration forced using high-quality, observation-based meteorological data. Both rho references are based on a newly proposed two-system approach for eliminating the impact of random errors in RS retrievals and quantified using the temporal correlations of soil moisture (SM) versus both evapotranspiration (ET) and the diurnal amplitude of surface temperature (dT). Experiments are conducted to calibrate an off-line LSM individually against each resulting rho reference and using a combination of both dT- and ET-represented rho references. The resulting calibrated LSM is further evaluated using independent ground-based ET observations and RS dT retrievals. Results show that although dT- and ET-represented rho references are physically consistent across space, model calibration results based on them are quite different. Specifically, the calibration experiment targeting ET-represented rho outperforms that targeting dT-represented rho in ET and dT modeling. Diagnostic results indicate that the failure of dT-based calibration experiments is due to the confounding impacts of transpiration/evapotranspiration partitioning error and large dT uncertainties in LSM. However, results also confirm the potential of both dT- and ET-represented rho references for jointly diagnosing and understanding LSM rho bias. As a result, we suggest diagnosing LSM rho bias using both ET- and dT-represented rho references - but calibrating LSM using only ET-represented rho reference data. |
| WOS关键词 | SOIL-MOISTURE ; DATA ASSIMILATION ; SMAP ; REGIONS ; IMPACT ; FLUXES |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:000968913700001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200791]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Shanghai Normal Univ, Sch Environm & Geog Sci, Shanghai 200234, Peoples R China 4.Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China 5.Southwest Univ, Sch Geog Sci, Chongqing 400715, Peoples R China 6.Tianjin Univ, Sch Earth Syst Sci, Tianjin 300072, Peoples R China 7.Zhou, Jianhong; Yang, Kun; Dong, Jianzhi; Zhao, Long; Feng, Huihui; Zou, Mijun; Lu, Hui; Tang, Ronglin; Jiang, Yaozhi; Crow, Wade T.] USDA, Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USA 8.Chinese Acad Sci, Inst Tibetan Plateau Res, Natl Tibetan Plateau Data Ctr, State Key Lab Tibetan Plateau Earth Syst & Resourc, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Jianhong,Yang, Kun,Dong, Jianzhi,et al. Potential of remote sensing surface temperature- and evapotranspiration-based land-atmosphere coupling metrics for land surface model calibration[J]. REMOTE SENSING OF ENVIRONMENT,2023,291:113557. |
| APA | Zhou, Jianhong.,Yang, Kun.,Dong, Jianzhi.,Zhao, Long.,Feng, Huihui.,...&Crow, Wade T..(2023).Potential of remote sensing surface temperature- and evapotranspiration-based land-atmosphere coupling metrics for land surface model calibration.REMOTE SENSING OF ENVIRONMENT,291,113557. |
| MLA | Zhou, Jianhong,et al."Potential of remote sensing surface temperature- and evapotranspiration-based land-atmosphere coupling metrics for land surface model calibration".REMOTE SENSING OF ENVIRONMENT 291(2023):113557. |
入库方式： OAI收割
来源：地理科学与资源研究所
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