ERDDAP - SST, AQUA_MODIS, L3m.DAY.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Science Quality, 2003-2022 (Daily), Lon0360 (2024)

Dataset Title: SST, AQUA_MODIS, L3m.DAY.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0,
Global, 0.04166°, Science Quality, 2003-2022 (Daily), Lon0360
Institution: NOAA NMFS SWFSC ERD (Dataset ID: erdMH1sstd1dayR20190SQ_Lon0360)
Information: Summary ERDDAP - SST, AQUA_MODIS, L3m.DAY.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Science Quality, 2003-2022 (Daily), Lon0360 (3) | License ERDDAP - SST, AQUA_MODIS, L3m.DAY.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Science Quality, 2003-2022 (Daily), Lon0360 (4) | FGDC | ISO 19115 | Metadata | BackgroundERDDAP - SST, AQUA_MODIS, L3m.DAY.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Science Quality, 2003-2022 (Daily), Lon0360 (5) | Files | Make a graph

The Dataset Attribute Structure (.das) for this Dataset

Attributes { time { String _CoordinateAxisType "Time"; Float64 actual_range 1.0414224e+9, 1.656504e+9; String axis "T"; Int32 fraction_digits 0; String ioos_category "Time"; String long_name "Centered Time"; String standard_name "time"; String time_origin "01-JAN-1970 00:00:00"; String units "seconds since 1970-01-01T00:00:00Z"; } latitude { String _CoordinateAxisType "Lat"; Float64 actual_range -89.97918, 89.97916; String axis "Y"; String coordsys "geographic"; Int32 fraction_digits 5; String ioos_category "Location"; String long_name "Latitude"; String point_spacing "even"; String standard_name "latitude"; String units "degrees_north"; } longitude { String _CoordinateAxisType "Lon"; Float64 actual_range 0.02083333, 359.97917684; String axis "X"; String coordsys "geographic"; Int32 fraction_digits 4; String ioos_category "Location"; String long_name "Longitude"; String point_spacing "even"; String standard_name "longitude"; String units "degrees_east"; } sstMasked { Float32 _FillValue -999.0; Float64 colorBarMaximum 32.0; Float64 colorBarMinimum 0.0; String coordsys "geographic"; String ioos_category "Temperature"; String long_name "Masked SST"; Float32 missing_value -999.0; String standard_name "sea_surface_temperature"; String units "degree_C"; } NC_GLOBAL { String acknowledgement "NASA GSFC"; String cdm_data_type "Grid"; String contact "https://www.pfeg.noaa.gov/guest_book.html"; String Conventions "CF-1.6, COARDS, ACDD-1.3"; String creation_date "2022-07-21 10:30:01.626525"; String creator_email "erd.data@noaa.gov"; String creator_name "NOAA NMFS SWFSC ERD"; String creator_type "institution"; String creator_url "https://www.pfeg.noaa.gov"; Float64 Easternmost_Easting 359.97917684; Float64 geospatial_lat_max 89.97916; Float64 geospatial_lat_min -89.97918; String geospatial_lat_units "degrees_north"; Float64 geospatial_lon_max 359.97917684; Float64 geospatial_lon_min 0.02083333; String geospatial_lon_units "degrees_east"; String history "Every day, erd.data@noaa.gov generates these by masking out qual_sst < 0 values from erdMH1sstdR20190NotMasked1day data files.2024-07-11T23:19:50Z (local files)2024-07-11T23:19:50Z https://coastwatch.pfeg.noaa.gov/erddap/griddap/erdMH1sstd1dayR20190SQ_Lon0360.das"; String infoUrl "https://modis.gsfc.nasa.gov/data/"; String institution "NOAA NMFS SWFSC ERD"; String keywords "4km, aqua, center, daily, data, day, daytime, degrees, earth, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, erd, fisheries, global, image, imaging, L3, level, level-3, mapped, masked, moderate, modis, modisa, national, nmfs, noaa, npp, ocean, oceans, orbiting, partnership, polar, polar-orbiting, quality, resolution, science, sea, sea_surface_temperature, smi, southwest, spectroradiometer, sst, sstMasked, standard, surface, swfsc, temperature, time"; String keywords_vocabulary "GCMD Science Keywords"; String license "The data may be used and redistributed for free but is not intendedfor legal use, since it may contain inaccuracies. Neither the dataContributor, ERD, NOAA, nor the United States Government, nor anyof their employees or contractors, makes any warranty, express orimplied, including warranties of merchantability and fitness for aparticular purpose, or assumes any legal liability for the accuracy,completeness, or usefulness, of this information."; String mask "qual_sst < 0"; Float64 Northernmost_Northing 89.97916; String rights "The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, CoastWatch, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information."; String Sensor_Name "HMODISA"; String source_data "AQUA_MODIS.20220629.L3m.DAY.SST.sst.4km.nc"; String sourceUrl "(local files)"; Float64 Southernmost_Northing -89.97918; String standard_name_vocabulary "CF Standard Name Table v70"; String summary "This is the delayed, science-quality version of Sea Surface Temperature (SST), masked, from Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA), Level-3 Standard Mapped Image (SMI), from NASA GSFC OBPG, R2019.0, Global, 0.04166°, Daily"; String time_coverage_end "2022-06-29T12:00:00Z"; String time_coverage_start "2003-01-01T12:00:00Z"; String title "SST, AQUA_MODIS, L3m.DAY.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Science Quality, 2003-2022 (Daily), Lon0360"; Float64 Westernmost_Easting 0.02083333; }}

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surfacetemperature data from a satellite), via a specially formed URL. griddap uses theOPeNDAPERDDAP - SST, AQUA_MODIS, L3m.DAY.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Science Quality, 2003-2022 (Daily), Lon0360 (29) Data Access Protocol (DAP)ERDDAP - SST, AQUA_MODIS, L3m.DAY.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Science Quality, 2003-2022 (Daily), Lon0360 (30) and its projection constraintsERDDAP - SST, AQUA_MODIS, L3m.DAY.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Science Quality, 2003-2022 (Daily), Lon0360 (31).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

  • (easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
  • (easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
  • (not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst),followed by [(start):stride:(stop)](or a shorter variation of that) for each of the variable's dimensions(for example, [time][latitude][longitude]).

For details, see the griddap Documentation.


ERDDAP, Version 2.24
Disclaimers | Privacy Policy | Contact

ERDDAP - SST, AQUA_MODIS, L3m.DAY.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Science Quality, 2003-2022 (Daily), Lon0360 (2024)

References

Top Articles
Restaurants in Tempe with great patios
Best Restaurants in Tel Aviv | Ontopo
Canya 7 Drawer Dresser
Http://N14.Ultipro.com
East Cocalico Police Department
How to know if a financial advisor is good?
No Hard Feelings Showtimes Near Metropolitan Fiesta 5 Theatre
Snarky Tea Net Worth 2022
Gina's Pizza Port Charlotte Fl
Brenna Percy Reddit
Driving Directions To Atlanta
Wildflower1967
Guidewheel lands $9M Series A-1 for SaaS that boosts manufacturing and trims carbon emissions | TechCrunch
The Banshees Of Inisherin Showtimes Near Regal Thornton Place
House Of Budz Michigan
Youravon Comcom
Blackwolf Run Pro Shop
Violent Night Showtimes Near Amc Fashion Valley 18
Craigslist Red Wing Mn
Aldi Bruce B Downs
BMW K1600GT (2017-on) Review | Speed, Specs & Prices
Violent Night Showtimes Near Century 14 Vallejo
Vernon Dursley To Harry Potter Nyt Crossword
Il Speedtest Rcn Net
'Insidious: The Red Door': Release Date, Cast, Trailer, and What to Expect
Wku Lpn To Rn
Shoe Station Store Locator
24 Hour Drive Thru Car Wash Near Me
Martins Point Patient Portal
Why comparing against exchange rates from Google is wrong
The Latest: Trump addresses apparent assassination attempt on X
Manuel Pihakis Obituary
Dreamcargiveaways
P3P Orthrus With Dodge Slash
Of An Age Showtimes Near Alamo Drafthouse Sloans Lake
Goodwill Thrift Store & Donation Center Marietta Photos
Hermann Memorial Urgent Care Near Me
Ljw Obits
Bbc Gahuzamiryango Live
Frcp 47
The Transformation Of Vanessa Ray From Childhood To Blue Bloods - Looper
Koninklijk Theater Tuschinski
Barber Gym Quantico Hours
Flags Half Staff Today Wisconsin
F9 2385
Bunkr Public Albums
Trivago Anaheim California
FedEx Authorized ShipCenter - Edouard Pack And Ship at Cape Coral, FL - 2301 Del Prado Blvd Ste 690 33990
Gummy Bear Hoco Proposal
Billings City Landfill Hours
2121 Gateway Point
211475039
Latest Posts
Article information

Author: Duncan Muller

Last Updated:

Views: 5717

Rating: 4.9 / 5 (79 voted)

Reviews: 86% of readers found this page helpful

Author information

Name: Duncan Muller

Birthday: 1997-01-13

Address: Apt. 505 914 Phillip Crossroad, O'Konborough, NV 62411

Phone: +8555305800947

Job: Construction Agent

Hobby: Shopping, Table tennis, Snowboarding, Rafting, Motor sports, Homebrewing, Taxidermy

Introduction: My name is Duncan Muller, I am a enchanting, good, gentle, modern, tasty, nice, elegant person who loves writing and wants to share my knowledge and understanding with you.