sea surface temperature map atlantic

The image shown was produced by PO.DAAC using 7-day Aquarius L2 data (all three beams). 48, no. The aerial SST provides fine-resolution data over a region, 2-3 times per day, and utilizes onboard processing and air-to-boat data downlink to guide the UCLA boat to identified features. There have been many reports of warm water species being caught in Southern California this summer, where the ocean has been especially warm since late winter.A 2005 image of Hurricane Katrina in the Gulf of Mexico  from NASA's QuikScat scatterometer Patzert: The best odds for a tropical cyclone to affect Southern California are during a "Godzilla" El Nino event, when the waters off the coast are warmest, like we had in 1997-98 when waters were in the low to mid 70s. Tide gauges are able to tell us that sea level rose at a slower rate before the 1990s and then the global sea level trend increased after that. https://podaac.jpl.nasa.gov/AquariusDataAccess Stormwater runoff plumes contain sediments, organic matter and nutrients that alter the optical properties of the water, which can be measured using the MODIS instrument on the Aqua satellite. In the Joaquin time series, which lasted longer than a week, initially the radius of maximum rain is just inside the radius of maximum wind, there is a lot of rain and the storm is asymmetric. USGS stream gage for the San Gabriel River is the northernmost gage along the river. After QuikSCAT’s primary operating mode halted in November 2009, Rae said, “QuikSCAT was a big loss for our operations that we haven’t recovered from yet, even with the use of ASCAT”, noting that ASCAT has comparatively limited coverage. Verhoef, A., M. Portabella and A. Stoffelen (2011), High-resolution ASCAT scatterometer winds near the coast, submitted, IEEE Trans.

Additionally, ninety five percent of the annual runoff volume and pollutant load in Southern California comes from episodic storm events that mainly occur during the rainy season from October to March. The rare occurrence of the horseshoe-shaped freshwater plume was caused by the freshwater plume from the Texas flood, the typical Mississippi River plume, an unusually strong Loop Current and its anticyclonic eddy to the west.Launched on January 17, 2016, Jason-3 is a partnership that includes NOAA, NASA, CNES and EUMETSAT. 2) Surfline/Wavetrak Inc. Credit The radiometer land flag on the GDR is valid only for the GDR PD and not the enhanced PD. (Bottom right) Saildrone SST (red line), MUR SST (white line). The warm anomalies contributed to the intensification of Michael prior to landfall. The resulting Saildrone Baja dataset available from the PO.DAAC is comprised of one data file with the Saildrone platform telemetry and near-surface observational data (air temperature, sea surface skin and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, wind speed and direction) for the entire cruise at 1 minute temporal resolution (Figure 2). GOES-R series (which will also include -S, -T, and -U). 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. (SMAP SSS DOI: 10.5067/SMP42-3TPCS).Animation of the QuikSCAT scatterometer-derived Arctic sea ice classification v1.0 from 20 June 2002 through 23 November 2009.
Historically, the 1982/1983 and 1997/1998 El Niño events represent textbook cases of how wave heights in the North Pacific and surf heights along U.S. West Coast beaches were much higher and more consistent than average.
Data sets such as the Reynolds Optimally Interpolated SSTs (OISSTv2) (Reynolds et al., 2002) have also resolved the 1982-1983 El Nino, but at a much coarser resolution. SST and SSH anomalies reflect the heat content in the mixed layer (approximately upper 50 m) and the upper ocean (approximately upper 150 m) respectively. 11:30 a.m. local time (22:30 UTC) on 11 January 2016. The wind data is from the Cross-Calibrated Multi-Platform project. Science Applications of Mascon data include: Previous sea level reconstructions have utilized empirical orthogonal functions (EOFs) as basis functions, but by using CSEOFs and by addressing other aspects of the reconstruction procedure, an alternative sea level reconstruction can be computed. Waves are the most commonly viewed feature of the ocean. The visualization show the directional flow and magnitude of surface wind vector data (calibrated to a 10 meter reference height) from June 2011 through October 2011. Direct comparisons with the operational 12.5 km dataset show there is no wind speed bias and very low standard deviations in the vector components (0.39 m/s for U; 0.53 m/s for V). Animation of the ocean surface heat flux (top: latent heat; bottom: sensible heat) over the period 18 March 2017 to 30 June 2019 from the CYGNSS Level 2 Ocean Surface Heat Flux Science Data Record Version 1.0 2007. The AIRSWOT field campaign consisted of in situ sampling and aerial imagery. SST anomalies during January, March, May, July, and December of the 1982-1983 El Niño and 1997-1998 El Niño events are shown in Figures 3-4. Sea level variation is linked to the change of heat stored in the upper ocean (i.e., upper-ocean heat content) that affects El Niño development. Here we focus on examining the sea surface temperature (SST) response associated with this hurricane, specifically its cold wakes, using the NASA Multi-Scale Ultra-High Resolution (MUR) SST dataset. SST Analysis Description.

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