February 11, 2020
Evolution of the NASA Soil Moisture Active Passive (SMAP) sea surface salinity (SSS) response to the 2019 Atlantic hurricane season. It is common to observe patches of 1) salinity freshening due to enhanced precipitation and 2) salinity increase due to wind stress-generated vertical mixing, wherein increased salinity from a mid-level maximum is brought to the surface. The two effects are clearly observed along the tracks of the 2019 Atlantic tropical cyclones. (SMAP SSS DOI: 10.5067/SMP42-3TPCS).

February 11, 2020
Evolution of the NASA Multi-Scale Ultra-High Resolution (MUR) sea surface temperature (SST) response to the 2019 East Pacific hurricane season. It is common to observe trails of cooler water, or cold wakes, along hurricane tracks as a result of wind-induced mixing and turbulence that brings cold waters at depth to the surface. The cold wakes associated with the 2019 East Pacific tropical cyclones are clearly observed as waters approximately 2°C cooler from normal that persisted for several days. (MUR SST DOI: 10.5067/GHGMR-4FJ04)

February 11, 2020
Evolution of the NASA Soil Moisture Active Passive (SMAP) sea surface salinity (SSS) response to the 2019 East Pacific hurricane season. It is common to observe patches of 1) salinity freshening due to enhanced precipitation and 2) salinity increase due to wind stress-generated vertical mixing, wherein increased salinity from a mid-level maximum is brought to the surface. The two effects are clearly observed along the tracks of the 2019 East Pacific tropical cyclones. (SMAP SSS DOI: 10.5067/SMP42-3TPCS).

January 27, 2020
Animation of the QuikSCAT scatterometer-derived Arctic sea ice classification v1.0 from 20 June 2002 through 23 November 2009. The dataset provides nominal 4.45 km (pixel resolution at reference latitude 70 N) gridded fields that classify First-Year (FY) and Multi-Year (MY) sea ice using SeaWinds on QuikSCAT scatterometer observations on a daily basis. First-Year sea ice is defined as ice that has formed only during that specific year. Multi-Year sea ice is defined as the winter-time ice that survives the summer melt season.

December 5, 2019
Animation of the JPL GRACE and GRACE-FO Mascon L3 Monthly Global Mass Anomaly RL06Mv2 CRI from 2002 to 2019. The dataset was derived from GRACE and GRACE-FO and processed at JPL using the Mascon approach (Version2/RL06). The dataset can be accessed from the PO.DAAC Portal at https://podaac.jpl.nasa.gov/dataset/TELLUS_GRAC-GRFO_MASCON_GRID_RL06_V2 (DOI:10.5067/TEMSC-3MJ62).

November 12, 2019
Animation of the GHRSST global foundation sea surface temperature v1.0 in the GHRSST Data Processing Specification version 2 (GDS2) format from 23 July 2008 to 7 November 2019.

October 25, 2019
Animation of the global foundation sea surface temperature v4.1 from 1 June 2002 to 23 October 2019. The dataset was created by a team led by Dr. Toshio M.

October 22, 2019
Animation of the 0.25deg global foundation sea surface temperature v4.2 from 1 September 2002 to 30 September 2019. The dataset was created by a team led by Dr. Toshio M.

October 4, 2019
On the left is Sea Surface Height Anomalies (SSHA) relative to the sea level mean (1993-2018). On the right is Global Mean Sea Level (GMSL) with the sea level trend as the straight line. The data are from TOPEX/Poseidon, Jason-1, 2 & 3. (DOI:10.5067/GMSLM-TJ142; DOI:10.5067/SLREF-CDRV2)  

October 3, 2019
Comparison of Saildrone in situ and satellite data during the SPURS-2 campaign. (Top left) Saildrone sea surface salinity (SSS) data overlays the SSS map from SMAP RSS Level 3 V4 8-day running mean. (Top right) Saildrone SSS data (red line), SMAP SSS data (white line). (Bottom left) Saildrone sea surface temperature (SST) data overlays the SST map from GHRSST Level 4 MUR V4.1. (Bottom right) Saildrone SST (red line), MUR SST (white line). (Saildrone DOI: 10.5067/SPUR2-SDRON; SMAP SSS DOI: 10.5067/SMP40-3SPCS; MUR SST DOI: 10.5067/GHGMR-4FJ04).

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