PPT-Sensitivity of diurnal cycle of LST to the soil moisture detected

from combined LST SM precipitation observations Y Zhao F Cheruy LMDIPSL LSTcci User Workshop 2020   2426 June 2020   Can we use combined LST SM PRECIP data to detect the contribution of soil thermal inertia which is strongly dependent on soil moisture to daily variations in nighttime minimum temperature. R. Bindlish, T. Jackson, M. Cosh. November 2014. Overview. Soil moisture algorithm. Soil moisture product. Validation. Linkage between Soil Moisture and SSS. Aquarius Soil Moisture Algorithm. The baseline soil moisture algorithm uses the . Colin Pettinati. Winter Ecology . Mountain Research Station 2014. University of Colorado, Boulder. Factors Controlling soil pH. Parent Material. Precipitation (moisture). Native Vegetation. Crops grown. in . Near. -Surface Salinity. Kyla Drushka. 1. , . Sarah . Gille. 2. , Janet . Sprintall. 2. . kdrushka. @. apl.uw.edu. 1. Applied . Physics Lab, Univ. of . Washington . 2. Scripps Inst. of Oceanography. Qian Tan (USRA), . Mian. Chin (GSFC), Jack Summers (EPA), Tom Eck (GSFC), . Hongbin. Yu (UMD), . Caterina. . Tassone. (NOAA. ), Yan Zhang (MSU), . EPA/AQS, NASA/AERONET, NOAA/NCDC . Outline. Diurnal variability of surface PM2.5. Liu et al. 2010. Review By: . Gus . Alaka. and Doug . Stolz. 20 February 2014. ATS 780. Background. C. T. R. Wilson’s Hypotheses: . Thunderstorms . AND. electrified shower clouds are the “batteries” of the global DC electrical circuit. Adopted (with permission) and later tested by F. Whipple.. Kaustav. . Chakravarty. Richard H. Johnson. Paul E. . Ciesielski. Colorado State University. J. L. Davison. University of Louisville. Third Symposium on Prediction of the Madden-Julian Oscillation: Processes, Prediction and . the Impact of Islands on the Tropical Climate. Timothy W. . Cronin*, Kerry A. Emanuel. Program in Atmospheres, Oceans, and Climate, Massachusetts . Institute of . Technology. 77 . Massachusetts Avenue, Cambridge . M.Teshima. Max-Planck-Institute for Physics. Current Key Participants-I. CTA-Proto-LST structure. Structure. LST SYS . . M.Teshima. LST STR . . T.Schweizer. LST CAM . . . O.Blanch. About 50 people subscribed in CTA-proto-LST. E. Chabanne A. Fiasson. Main LST cable Paths and cabinets. La Palma LST meeting E. Chabanne. 2. Main LST cable Paths and cabinets. 3. Cabling architecture status. Subsystem responsibility verification and commitment towards procurement and installation. Jacopo . Dari. . (1). , Pere Quintana-. Seguí. . (2). , Maria José . Escorihuela. . (3). , Luca Brocca . (4). , Renato Morbidelli . (1. ). , and Vivien Stefan . (3). (1) . University. . of Perugia, . Sponsored by the NASA Climate Indicators and Data Products for Future Climate Assessment Program. Kenneth Tobin (TAMIU). Wade Crow . and Jianzhi Dong (USDA ARS). William Teng (NASA GSFC/ADNET Systems Inc.. Rolf Reichle. 1. , Gabrielle DeLannoy. 1,2. , and . Wade Crow. 3. 1. NASA Goddard Space Flight Center Global Model and Assimilation Office. 2 . University of Louvain, Louvain, Belgium. 3. USDA ARS Hydrology and Remote Sensing Lab. Claire . Bulgin. University. of Reading, National Centre for . Earth. Observation. Background. Every measurement we make (both in-situ or remotely sensed) deviates from the ‘true’ surface temperature due imperfections in the instrumentation and measurement process. Therefore, in order to use the data correctly, you must consider the uncertainty in the measurement.. Variations of the Mei-Yu Season Coastal Rainfall over South China. Chen, X., F, Zhang, and K. Zhao, 2017: Influence of monsoonal wind speed and moisture content on intensity and diurnal variations of the Mei-Yu season coastal rainfall over South China. .