Abstract. A soil moisture retrieval assimilation framework is implemented across South Asia in an attempt to improve regional estimation as well provide a consistent dataset. This study aims the spatiotemporal variability of estimates by assimilating Soil Moisture Active Passive (SMAP) near-surface retrievals into land surface model. The Noah-MP (v4.0.1) model run within NASA Land Information S...

Abstract MTrack is an automated algorithm that determines the center location (latitude and longitude) of a tropical cyclone from scalar wind field derived satellite observations. Accurate storm centers are useful for operational forecasting cyclones their reanalysis (e.g., research on surge modeling). Currently, fixes have significantly larger errors weak, disorganized storms. The presented he...

Soil moisture (SM) has normally been estimated based on a linear relationship between SM and the surface reflectivity (?) from spaceborne Global Navigation Satellite System (GNSS)-Reflectometry, while it usually relies inputs of data without considering vegetation optical depth (VOD/?) effects. In this study, new scheme is proposed for retrieving soil Cyclone GNSS (CyGNSS) data. The variation C...

Satellites are designed to monitor geospatial data over large areas at a catchment scale. However, most of satellite validation works conducted local point scales with lack spatial representativeness. Although upscaling them average several collected in the field, it is almost impossible reorganize backscattering responses pixel scales. Considering influence soil storage on watershed streamflow...

Abstract. The Twente region in the east of Netherlands has a network with 20 soil monitoring stations that been utilized for validation Soil Moisture Active/Passive (SMAP) passive-only moisture products. Over period from April 2015 until December 2018, seven covered by SMAP reference pixels have fairly complete data records. Spatially distributed simulations Dutch National Hydrological Model de...

The evaluation of satellite soil moisture is a big challenge owing to the large spatial mismatch between pixel-based products and point-based in situ measurements. Upscaling measurements obtain “true value” content at grid/footprint scale can make up for difference improve validation. Many existing upscaling methods have strict requirements regarding distribution quantity sensors. However, real...

Streamflow is one of the key variables in hydrological cycle. Simulation and forecasting streamflow are challenging tasks for hydrologists, especially sparsely gauged areas. Coarse spatial resolution remote sensing soil moisture products (equal to or larger than 9 km) often assimilated into models improve simulation large catchments. This study uses Ensemble Kalman Filter (EnKF) technique assim...

Abstract The Joint Typhoon Warning Center (JTWC) utilized new space-based environmental monitoring (SBEM) data alongside traditional to adjust JTWC tropical cyclone (TC) intensity and structure estimates during production of the official 2019 Best Track dataset. Intensity from multiple platforms such as Advanced Microwave Scanning Radiometer-2 (AMSR2), Soil Moisture Active Passive (SMAP) Ocean ...