updated every thirty minutes
contact firstname.lastname@example.org for licensing or other questions
|作り手||Cameron Beccario @cambecc|
GFS (Global Forecast System)
EMC / NCEP / NWS / NOAA
Earth & Space Research
RTGSST (Real Time Global Sea Surface Temperature)
MMAB / EMC / NCEP / NWS / NOAA
MMAB / EMC / NCEP / NWS / NOAA
GEOS-5 (Goddard Earth Observing System)
GMAO / NASA
CAMS (Copernicus Atmosphere Monitoring System)
Copernicus / European Commission + ECMWF
SWPC / NCEP / NWS / NOAA
Processing script written by Stephanie Hamilton
|GRIB/NetCDF デコーダ||UCAR/Unidata THREDDS|
Google Noto Fonts
Kindlmann Linear Luminance
Dave Green's cubehelix
|インスピレーション||HINT.FM wind map|
note: 1 ヘクトパスカル (hPa) = 1 ミリバール (mb)
|1000 hPa||00,~100 m, near sea level conditions|
|850 hPa||0~1,500 m, 大気境界層〖下〗|
|700 hPa||0~3,500 m, 大気境界層〖上〗|
|500 hPa||0~5,000 m, 渦度|
|250 hPa||~10,500 m, ジェット気流|
|70 hPa||~17,500 m, 成層圏|
|10 hPa||~26,500 m, もっと成層圏|
the "Surface" layer represents conditions at ground or water level
this layer follows the contours of mountains, valleys, etc.
overlays show another dimension of data using color
some overlays are valid at a specific height
while others are valid for the entire thickness of the atmosphere
|風速||wind speed at specified height|
|気温||temperature at specified height|
|相対湿度||relative humidity at specified height|
measure of power available in the wind: ½ρv3, where ρ is air density and v is wind velocity
total amount of water in a column of air stretching from ground to space
total amount of water in clouds in a column of air from ground to space
indicates the buoyancy of air, a measure of atmospheric instability and predictor of severe weather
air pressure reduced to sea level
perceived air temperature as combination of heat index and wind chill
temperature of the ocean surface
Sea Surface Temperature Anomaly
difference in ocean temperature from daily average during years 1981-2011
Significant Wave Height
roughly equal to mean wave height as estimated by a "trained observer"
the fraction of carbon monoxide present in air at the earth's surface
the fraction of carbon dioxide present in air at the earth's surface
amount of sulfur dioxide in the air near the earth's surface
the aerosol optical thickness (AOT) of light at 550 nm due to dust
the aerosol optical thickness (AOT) of light at 550 nm due to sulfate
Particulate Matter < 1 µm
mass of atmospheric particles with a diameter less than 1 micron
Particulate Matter < 2.5 µm
mass of atmospheric particles with a diameter less than 2.5 microns
Particulate Matter < 10 µm
mass of atmospheric particles with a diameter less than 10 microns
about ocean waves
Peak Wave Period is the (inverse) frequency of the most energetic waves passing through a particular point, whether wind generated or swells. Certainly, there are many more groups of waves moving through an area, each in different directions, but trying to show them all rapidly becomes complex. Instead, we show the one wave group contributing the most energy. This has the effect, though, of creating "boundaries" between regions of ocean where the #1 wave group suddenly switches to second place. Often these boundaries represent swell fronts, but other times they are just artifacts of the ranking mechanism.
about CO2 concentrations
for dates earlier than 2017-01-24 04:30 UTC
While implementing the visualization of CO2 surface concentration, I noticed the NASA GEOS-5 model reports a global mean concentration that differs significantly from widely reported numbers. For example, from the run at 2015-11-23 00:00 UTC, the global mean is only 368 ppmv whereas CO2 observatories report concentrations closer to 400 ppmv. GEOS-5 was constructed in the 2000s, so perhaps the model does not account for accumulation of atmospheric CO2 over time? This is simply speculation. I am just not certain.
To bring the GEOS-5 results closer to contemporary numbers, I have added a uniform offset of +32 ppmv, increasing the global mean to 400 ppmv. This is not scientifically valid, but it does allow the visualization to become illustrative of the discussion occurring today around atmospheric CO2. Without question, I would welcome a more rigorous approach or an explanation why the GEOS-5 model produces the data that it does.
From 2017-01-24 04:30 UTC, this adjustment is no longer necessary because GEOS-5 appears to have been upgraded.
GEOS-5 data (covering all Chem and Particulates layers) comes with the following disclaimer: Forecasts using the GEOS system are experimental and are produced for research purposes only. Use of these forecasts for purposes other than research is not recommended.
about aerosols and extinction
An aerosol is air containing particles. Common particles are dust, smoke, soot, and water droplets (clouds). These particles affect sunlight primarily through absorption and scattering, which combine to reduce the amount of light reaching the ground. This loss of light as it passes through the atmosphere is called extinction.
One common measure of extinction is aerosol optical thickness (AOT), which is (the log of) the ratio between the power of incoming light and the power of transmitted light. This helps us understand how "thick" the air is with particulates.
|e||show the menu|
|k||go forward one time step|
|shift-k||go forward several time steps|
|j||go backward one time step|
|shift-j||go backward several time steps|
|n||go to now (the most recent data)|
|i||go up one pressure level|
|shift-i||go up to the stratosphere|
|m||go down one pressure level|
|shift-m||go down to the surface|
|g||toggle the grid on/off|
|p||toggle the animation on/off|
|shift-h||enable/disable high definition mode|
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Selected for inclusion in the Climate Literacy and Energy Awareness Network (CLEAN) collection of educational resources.
The GEOS-5 data used on this site have been provided by the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center through the online data portal in the NASA Center for Climate Simulation
Generated using Copernicus Atmosphere Monitoring Service Information 2018. Neither the European Commission nor ECMWF is responsible for any use that may be made of this information.
weather and ocean data are generated from numerical models
Copyright (c) 2018 Cameron Beccario