Comparison of GHRSST SST analysis in the Arctic Ocean and Alaskan coastal waters using saildrones
No abstract provided
Tang, Wenqing↗
Engineering topics
Tang, Wenqing
Publications and source records attributed to Tang, Wenqing.
Evaluation and Intercomparison of SMOS, Aquarius and SMAP Sea Surface Salinity Products in the Arctic Ocean
No abstract provided
Olmedo, Estrella↗
An Empirical Sea Ice Correction Algorithm for SMAP SSS Retrieval in the Arctic Ocean
No abstract provided
Hayashi, Akiko↗
Variability of Space-based Sea Surface Salinity and the Freshwater Contents in the Hudson Bay
UNKNOWN
Gabarró, Carolina↗
Spacebased Sea Surface Salinity Depicts Freshwater Changes in the Hudson Bay
UNKNOWN
Gabarró, Carolina↗
Applications of SMAP Data to Retrieval of Ocean Surface Wind and Salinity
We have examined the L-band radiometer and radar data from NASA’s Soil Moisture Active Passive (SMAP) mission for ocean research and applications. We find that the SMAP data are in excellent agreement with the geophysical model function (GMF) derived from the Aquarius data up to a wind speed of 20 ms-1. For severe wind conditions, the higher resolution data from SMAP allowed us to assess the sensitivity of L-band radiometer signals to hurricane force winds. We applied the L-band GMF to the retrieval of ocean surface wind and SSS from the SMAP data. Comparison with the European Center for Medium-Range Weather Forecasting, WindSat and RapidSCAT wind speeds suggests that SMAP’s radiometer wind speed reaches an excellent accuracy of about 1.1-1.7 ms-1 below a wind speed of 20 ms-1. We have also found that the maximum wind speed derived from the SMAP radiometer data can reach 140 knots for severe storms and are generally in good agreement with the hurricane track analysis and operational aircraft Stepped Frequency Microwave Radiometer wind speeds. The spatial patterns of the SMAP SSS agree well with climatological distributions, but exhibit several unique spatial and temporal features.
ocean surface wind↗
Surface Stress in Tropical Cyclone Observed by Scatterometer
Ocean surface wind (U) is air in motion and stress (τ) is the turbulent transport of momentum between the ocean and the atmosphere. While the strong wind of a tropical cyclone (TC) causes destruction at landfall, it is the surface stress that drags down the TC. There was almost no stress measurement except in dedicated field campaigns and the stress we used was almost entirely derived from wind through a drag coefficient (C(sub D)), as defined by C(sub D) = τ / ( ρ U(exp 2)). In TC, there is difficulty in measuring strong wind and large uncertainty in the drag coefficient.
Liu, W. Timothy↗
L-Band Active-Passive Microwave Remote Sensing of Ocean Surface Wind During Hurricanes
No abstract available
Yueh, Simon↗
Retrieval of Sea Surface Salinity and Wind from the NASA Soil Moisture Active Passive Mission Data
No abstract available
Yueh, Simon↗
Spacebased Observations of Oceanic Influence on the Annual Variation of South American Water Balance
The mass change of South America (SA) continent measured by the Gravity Recovery and Climate Experiment (GRACE) imposes a constraint on the uncertainties in estimating the annual variation of rainfall measured by Tropical Rain Measuring Mission (TRMM) and ocean moisture influx derived from QuikSCAT data. The approximate balance of the mass change rate with the moisture influx less climatological river discharge, in agreement with the conservation principle, bolsters not only the credibility of the spacebased measurements, but supports the characterization of ocean's influence on the annual variation of continental water balance. The annual variation of rainfall is found to be in phase with the mass change rate in the Amazon and the La Plata basins, and the moisture advection across relevant segments of the Pacific and Atlantic coasts agrees with the annual cycle of rainfall in the two basins and the Andes mountains.
rainfall annual cycle↗