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'Practical Microsimulation Modelling' brings together a description and examples of the main methods used in microsimulation modelling used in the field of income distribution analysis. It is structured to develop and use the different types of models used in the field, with a focus on household targeted policy.

Econometric models. --- Statistical matching. --- Appariement (Statistique) --- Income distribution --- Mathematical models. --- Concatenation, File (Statistics) --- Data fusion (Statistics) --- Data matching (Statistics) --- Data merging (Statistics) --- File concatenation (Statistics) --- Fusion, Data (Statistics) --- Imputation, Mass (Statistics) --- Mass imputation (Statistics) --- Matching, Data (Statistics) --- Matching, Statistical --- Merging, Data (Statistics) --- Microsimulation modeling (Statistics) --- Modeling, Microsimulation (Statistics) --- Sampling (Statistics) --- Econometric models --- Statistical matching

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This handbook brings together the latest research on applied market design. It surveys matching markets: environments where there is a need to match large two-sided populations to one another, such as law clerks and judges or patients and kidney donors.

Game theory. --- Markets --- Statistical matching. --- Supply and demand. --- Mathematical models. --- Demand and supply --- Industrial production --- Law of supply and demand --- Economics --- Competition --- Exchange --- Overproduction --- Prices --- Value --- Concatenation, File (Statistics) --- Data fusion (Statistics) --- Data matching (Statistics) --- Data merging (Statistics) --- File concatenation (Statistics) --- Fusion, Data (Statistics) --- Imputation, Mass (Statistics) --- Mass imputation (Statistics) --- Matching, Data (Statistics) --- Matching, Statistical --- Merging, Data (Statistics) --- Microsimulation modeling (Statistics) --- Modeling, Microsimulation (Statistics) --- Sampling (Statistics) --- Public markets --- Commerce --- Fairs --- Market towns --- Games, Theory of --- Theory of games --- Mathematical models --- Mathematics --- Supply and demand --- Statistical matching --- Game theory --- E-books

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This book celebrates the ten-year anniversary of the Barcelona Expert Center by presenting recent contributions related to the topics on which the team has been working during these years. The Barcelona Expert Center expertise covers a wide variety of remote sensing fields, but the main focus of the research is on the Soil Moisture and Ocean Salinity (SMOS) data processing and its ocean, land, and ice applications. This book contains 14 scientific papers addressing topics that range from the description of the new data processing algorithms that are implemented in the last version of the operational SMOS Level 1 processor, to scientific applications derived from SMOS: results on the sea surface salinity assimilation in coastal models; synergies of the sea surface salinity with temperature and chlorophyll, and their impact on the better retrieval of ocean surface currents; quality assessment of SMOS derived sea ice thickness; sea surface salinity; and soil moisture products, among others. Moreover, one of the papers verifies the potential of the future CIMR mission within the CMEMS SSS operational production after the SMOS era.

Research & information: general --- Geography --- soil moisture --- root zone --- SMAP --- SMOS --- MODIS --- climatology --- trends --- signal decomposition --- interferometric radiometry --- image reconstruction --- error correction --- surface currents --- mediterranean sea --- satellite altimetry --- sea surface temperature --- sea surface salinity --- BEC SMOS products --- Mediterranean Sea --- Algerian Basin --- ABACUS gliders --- microwave remote sensing --- CIMR --- copernicus marine service --- satellite observations --- tidal currents --- internal tides --- data assimilation --- 4D-Var --- Congo River plume --- satellite salinity --- Angola Basin --- ROMS --- moisture variability --- temporal dynamics --- moisture patterns --- spatial disaggregation --- Soil Moisture Active Passive (SMAP) --- Soil Moisture and Ocean Salinity (SMOS) --- REMEDHUS --- L-band radiometry --- Soil Moisture and Ocean Salinity (SMOS) mission --- sea ice thickness --- retrieval model validation --- upward looking sonar --- Arctic --- altimetry --- surface quasi-geostrophic equations --- remote sensing --- ocean color --- data fusion --- data merging --- physical oceanography --- singularity analysis --- faraday rotation angle (FRA) --- vertical total electron content (VTEC) --- L-band --- radiometry --- Interferometry --- ocean salinity (SMOS) --- calibration --- reprocessing --- BEC --- oceanography --- cryosphere --- processing --- sensor calibration

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This book celebrates the ten-year anniversary of the Barcelona Expert Center by presenting recent contributions related to the topics on which the team has been working during these years. The Barcelona Expert Center expertise covers a wide variety of remote sensing fields, but the main focus of the research is on the Soil Moisture and Ocean Salinity (SMOS) data processing and its ocean, land, and ice applications. This book contains 14 scientific papers addressing topics that range from the description of the new data processing algorithms that are implemented in the last version of the operational SMOS Level 1 processor, to scientific applications derived from SMOS: results on the sea surface salinity assimilation in coastal models; synergies of the sea surface salinity with temperature and chlorophyll, and their impact on the better retrieval of ocean surface currents; quality assessment of SMOS derived sea ice thickness; sea surface salinity; and soil moisture products, among others. Moreover, one of the papers verifies the potential of the future CIMR mission within the CMEMS SSS operational production after the SMOS era.

soil moisture --- root zone --- SMAP --- SMOS --- MODIS --- climatology --- trends --- signal decomposition --- interferometric radiometry --- image reconstruction --- error correction --- surface currents --- mediterranean sea --- satellite altimetry --- sea surface temperature --- sea surface salinity --- BEC SMOS products --- Mediterranean Sea --- Algerian Basin --- ABACUS gliders --- microwave remote sensing --- CIMR --- copernicus marine service --- satellite observations --- tidal currents --- internal tides --- data assimilation --- 4D-Var --- Congo River plume --- satellite salinity --- Angola Basin --- ROMS --- moisture variability --- temporal dynamics --- moisture patterns --- spatial disaggregation --- Soil Moisture Active Passive (SMAP) --- Soil Moisture and Ocean Salinity (SMOS) --- REMEDHUS --- L-band radiometry --- Soil Moisture and Ocean Salinity (SMOS) mission --- sea ice thickness --- retrieval model validation --- upward looking sonar --- Arctic --- altimetry --- surface quasi-geostrophic equations --- remote sensing --- ocean color --- data fusion --- data merging --- physical oceanography --- singularity analysis --- faraday rotation angle (FRA) --- vertical total electron content (VTEC) --- L-band --- radiometry --- Interferometry --- ocean salinity (SMOS) --- calibration --- reprocessing --- BEC --- oceanography --- cryosphere --- processing --- sensor calibration

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Ocean color measured by satellite-mounted optical sensors is an essential climate variable that is routinely used as a central element for assessing the health and productivity of marine ecosystems and the role of oceans in the global carbon cycle. For satellite ocean color to be reliable and used in these and other important environmental applications, the data must be trustworthy and high quality. Pre-flight and on-board calibration of satellite ocean color sensors is conducted; however, once in orbit, the data quality can only be fully assessed via independent calibration and validation activities using surface measurements. These measurements therefore need to be at least as high quality as the satellite data, which necessitates SI traceability and a full uncertainty budget. This is the basis for fiducial reference measurements (FRMs) and the FRM4SOC project, which was an European Space Agency (ESA) initiative to establish and maintain SI-traceable ground-based FRM for satellite ocean color, thus providing a fundamental contribution to the European system for monitoring the Earth (Copernicus). This Special Issue of MDPI Remote Sensing is designed to showcase this essential Earth observation work through the publication of the project’s main achievements and results accompanied by other select relevant articles.

Research & information: general --- VIIRS --- SNPP --- NOAA-20 --- DINEOF --- ocean color data --- data merging --- gap-filling --- ocean color radiometers --- radiometric calibration --- indoor intercomparison measurement --- agreement between sensors --- measurement uncertainty --- field intercomparison measurement --- Hyperspectral reflectance --- validation --- autonomous measurements --- ground-truth data --- system design --- downwelling irradiance --- satellite validation --- Fiducial Reference Measurements --- water reflectance --- satellite --- calibration --- solar diffusor --- SDSM --- desert trend --- lunar calibration --- RVS --- MODIS --- Aqua --- ocean color --- water-leaving radiance --- atmospheric correction --- Sentinel-3 OLCI --- Copernicus --- ocean colour --- system vicarious calibration --- fiducial reference measurement --- Lampedusa --- MOBY --- MarONet --- radiometry --- research infrastructure --- uncertainty budget --- satellite ocean colour --- fiducial reference measurements (FRM) --- calibration and validation --- SI traceability and uncertainty --- European Space Agency (ESA) --- Committee for Earth Observation Satellites (CEOS) --- fiducial reference measurements --- SI-traceability --- Mediterranean Sea --- BOUSSOLE --- MSEA --- hyper-temporal dataset --- optical radiometry --- coastal environment --- observation geometry --- remote sensing reflectance --- ocean colour radiometers --- TriOS RAMSES --- Seabird HyperSAS --- field intercomparison --- AERONET-OC --- Acqua Alta Oceanographic Tower --- remote sensing --- spectral irradiance comparison --- spectral radiance sources comparison