Use of an End-to-End-Simulator to Analyze CYGNSS [PDF]
Journal of Atmospheric and Oceanic Technology, 2018 AbstractTropical convection during the onset of two Madden–Julian oscillation (MJO) events, in October and December of 2011, was simulated using the Weather Research and Forecasting (WRF) Model. Observations from the Dynamics of the MJO (DYNAMO) field campaign were assimilated into the WRF Model for an improved simulation of the mesoscale features of ...
Kacie E, Hoover +5 more
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Remote Sensing, 2023 Drought monitoring is crucial for various sectors, and soil moisture data play a pivotal role, especially in agricultural contexts. This study focuses on the recent CYGNSS Level 3 soil moisture data derived from the NASA Cyclone Global Navigation ...
Zhaolu Hou, Zhaoxia Pu
doaj +2 more sources
Validation of NOAA CyGNSS Wind Speed Product with the CCMP Data
Remote Sensing, 2021 The National Aeronautics and Space Administration (NASA) Cyclone Global Navigation Satellite System (CyGNSS) mission was launched in December 2016, which can remotely sense sea surface wind with a relatively high spatio-temporal resolution for tracking ...
Xiaohui Li +5 more
doaj +2 more sources
Downscaling SMAP Brightness Temperatures to 3 km Using CYGNSS Reflectivity Observations: Factors That Affect Spatial Heterogeneity [PDF]
Remote Sensing, 2022 NASA’s Soil Moisture Active Passive (SMAP) mission only retrieved ~2.5 months of 3 km near surface soil moisture (NSSM) before its radar transmitter malfunctioned. NSSM remains an important area of study, and multiple applications would benefit from 3 km
Liza J. Wernicke +3 more
doaj +2 more sources
A Study on Assimilation of CYGNSS Wind Speed Data for Tropical Convection during 2018 January MJO
Remote Sensing, 2020 The National Aeronautics and Space Administration (NASA) Cyclone Global Navigation Satellite System (CYGNSS) mission was launched in December 2016.
Xuanli Li +2 more
doaj +2 more sources
The NASA CYGNSS SmallSat Constellation [PDF]
, 2023 The NASA Cyclone Global Navigation Satellite System (CYGNSS) is a constellation of eight microsatellites in low earth orbit at ~525 km altitude and 35 deg inclination. CYGNSS was launched in December 2016 for a planned 2 year mission and 7 of the 8 spacecraft continue to operatue nominally as of May 2023.
Ruf, Christopher +4 more
openaire +2 more sources
Daily Spatial Complete Soil Moisture Mapping Over Southeast China Using CYGNSS and MODIS Data [PDF]
Frontiers in Big Data, 2022 Daily spatial complete soil moisture (SM) mapping is important for climatic, hydrological, and agricultural applications. The Cyclone Global Navigation Satellite System (CYGNSS) is the first constellation that utilizes the L band signal transmitted by ...
Ting Yang +7 more
doaj +2 more sources
Investigation of the Occurrence of Nighttime Topside Ionospheric Irregularities in Low-Latitude and Equatorial Regions Using CYGNSS Satellites [PDF]
Sensors, 2020 By using multi-satellite observations of the L1 signal-to-noise ratio (SNR) from the Cyclone Global Navigation Satellite System (CYGNSS) taken in 2017, we present the occurrence of nighttime topside ionospheric irregularities in low-latitude and ...
Liang Huang +5 more
doaj +2 more sources
First Measurement of Soil Freeze/Thaw Cycles in the Tibetan Plateau Using CYGNSS GNSS-R Data
Remote Sensing, 2020 The process of soil freezing and thawing refers to the alternating phase change of liquid water and solid water in the soil, accompanied by a large amount of latent heat exchange.
Xuerui Wu +6 more
doaj +2 more sources
An Effective Land Type Labeling Approach for Independently Exploiting High-Resolution Soil Moisture Products Based on CYGNSS Data [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Recently, soil moisture (SM) has been estimated using Cyclone Global Navigation Satellite System (CYGNSS) data. Machine learning (ML) algorithms for CYGNSS SM estimation can minimize unpredictable influences and help improve the accuracy of SM retrieval.
Yan Jia +5 more
doaj +2 more sources