| Distributions of mixed layer properties in North Pacific water mass formation areas: comparison of Argo floats and World Ocean Atlas 2001 |
2008 |
2047 |
ABSTRACT. Winter mixed layer characteristics in the North
Pacific Ocean are examined and compared between Argo
floats in 2006 and the World Ocean Atlas 2001 (WOA01)
climatology for a series of named water masses, North Pacific
Tropical Water (NPT... |
| Matchup Characteristics of Sea Surface Salinity Using a High-Resolution Ocean Model |
2021 |
513 |
Sea surface salinity (SSS) satellite measurements are validated using in situ observations usually made by surfacing Argo floats. Validation statistics are computed using matched values of SSS from satellites and floats. This study explores how the m... |
| Matchup Strategies for Satellite Sea Surface Salinity Validation |
2023 |
69 |
Satellite validation is the process of comparing satellite measurements with in-situ measurements to ensure their accuracy. Satellite and in-situ sea surface salinity (SSS) measurements are different due to instrumental errors (IE), retrieval errors ... |
| Multiscale simulation, data assimilation, and forecasting in support of the SPURS-2 field campaign |
2019 |
915 |
A multiscale simulation, data assimilation, forecasting system was developed in support of the SPURS-2 (Salinity Processes in the Upper-ocean Regional Study 2) field campaign. Before the field campaign, a multiyear simulation was produced for charact... |
| Patterns of SSS variability in the eastern tropical Pacific: Intraseasonal to interannual timescales from seven years of NASA satellite data |
2019 |
245 |
Sea surface salinity (SSS) observations from NASA’s satellite missions, Aquarius/SAC-D and Soil Moisture Active Passive (SMAP), are used to describe spatial patterns of the seasonal cycle, as well as intraseasonal and interannual variability, in the ... |
| Physical response of the coastal ocean to Hurricane Isabel near landfall |
2008 |
2292 |
Abstract. Hurricane Isabel made landfall near Drum Inlet,
North Carolina on 18 September 2003. In nearby Onslow
Bay an array of 5 moorings captured the response of
the coastal ocean to the passage of the storm by measuring
currents, surface waves... |
| Quantification of Aquarius, SMAP, SMOS and Argo-Based Gridded Sea Surface Salinity Product Sampling Errors |
2023 |
63 |
Evaluating and validating satellite sea surface salinity (SSS) measurements is fundamental. There are two types of errors in satellite SSS: measurement error due to the instrument’s inaccuracy and problems in retrieval, and sampling error due to unre... |
| The Salinity Pilot-Mission Exploitation Platform (Pi-MEP): A Hub for Validation and Exploitation of Satellite Sea Surface Salinity Data |
2021 |
108 |
The Pilot-Mission Exploitation Platform (Pi-MEP) for salinity is an ESA initiative originally meant to support and widen the uptake of Soil Moisture and Ocean Salinity (SMOS) mission data over the ocean. Starting in 2017, the project aims at setting ... |
| Seasonal and Interannual Variability of the Subtropical South Indian Ocean Sea Surface Salinity Maximum |
2023 |
292 |
The sea surface salinity (SSS) maximum of the South Indian Ocean (the SISSS-max) is a high-salinity feature centered at 30°S, 90°E, near the center of the South Indian subtropical gyre. It is located poleward of a region of strong evaporation and wea... |
| Sea Surface Salinity Seasonal Variability in the Tropics from Satellites, Gridded In Situ Products and Mooring Observations |
2020 |
797 |
Satellite observations of sea surface salinity (SSS) have been validated in a number of instances using different forms of in situ data, including Argo floats, moorings and gridded in situ products. Since one of the most energetic time scales of vari... |
| Sea surface salinity short-term variability in the tropics |
2021 |
482 |
Using data from the Global Tropical Moored Buoy Array, we study the validation process for satellite measurement of sea surface salinity (SSS). We compute short-term variability (STV) of SSS, variability on timescales of 2–17?d. It is a proxy for sub... |
| Sea Surface Salinity Subfootprint Variability from a Global High-Resolution Model |
2021 |
575 |
Subfootprint variability (SFV) is variability at a spatial scale smaller than the footprint of a satellite, and it cannot be resolved by satellite observations. It is important to quantify and understand, as it contributes to the error budget for sat... |
| Spatial Scales of Sea Surface Salinity Subfootprint Variability in the SPURS Regions |
2020 |
527 |
Subfootprint variability (SFV), or representativeness error, is variability within the footprint of a satellite that can impact validation by comparison of in situ and remote sensing data. This study seeks to determine the size of the sea surface sal... |
| The SPURS-2 eastern tropical Pacific field campaign data collection |
2019 |
942 |
This paper describes the large, diverse set of in situ data collected during the Salinity Processes in the Upper-ocean Regional Study 2 (SPURS-2) field campaign. The data set includes measurements of the ocean, atmosphere, and fluxes between atmosphe... |
| Subfootprint Variability of Sea Surface Salinity Observed during the SPURS-1 and SPURS-2 Field Campaigns |
2019 |
503 |
Subfootprint variability (SFV), variability within the footprint of a satellite measurement, is a source of error associated with the validation process, especially for a satellite measurement with a large footprint such as those measuring sea surfac... |