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コミュニティ Facebookページ
作り手 Cameron Beccario @cambecc
使用ライブラリ D3.js
天気予報データ GFS (Global Forecast System)
海流データ OSCAR
Earth & Space Research
海面水温 RTGSST (Real Time Global Sea Surface Temperature)
エアロゾルと大気化学 GEOS-5 (Goddard Earth Observing System)
CAMS (Copernicus Atmosphere Monitoring System)
Copernicus / European Commission + ECMWF
地理データ Natural Earth
ホスティング CloudFlare
Amazon S3
フォント M+ FONTS
Google Noto Fonts
Font Awesome
Translation Management OneSky
カラースケール chroma.js
Kindlmann Linear Luminance
Dave Green's cubehelix
関連サイト 東京風速
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
WPD 風力エネルギー密度
measure of power available in the wind: ½ρv3, where ρ is air density and v is wind velocity
可降水量 可降水量
total amount of water in a column of air stretching from ground to space
雲水量 雲水量
total amount of water in clouds in a column of air from ground to space
3HPA 3時間の降水量
CAPE 対流有効位置エネルギー(地上)
indicates the buoyancy of air, a measure of atmospheric instability and predictor of severe weather
海面更正 海面更正気圧
air pressure reduced to sea level
体感温度 体感温度
perceived air temperature as combination of heat index and wind chill
海面水温 海面水温(SST)
temperature of the ocean surface
海面水温異常 Sea Surface Temperature Anomaly
difference in ocean temperature from daily average during years 1981-2011
有義波高 Significant Wave Height
roughly equal to mean wave height as estimated by a "trained observer"
COsc 一酸化炭素地上濃度
the fraction of carbon monoxide present in air at the earth's surface
CO2sc 二酸化炭素地上濃度
the fraction of carbon dioxide present in air at the earth's surface
SO2sm 二酸化硫黄地上質量
amount of sulfur dioxide in the air near the earth's surface
DUex Dust Extinction
the aerosol optical thickness (AOT) of light at 550 nm due to dust
SO4ex Sulfate Extinction
the aerosol optical thickness (AOT) of light at 550 nm due to sulfate
PM1 Particulate Matter < 1 µm
mass of atmospheric particles with a diameter less than 1 micron
PM2.5 Particulate Matter < 2.5 µm
mass of atmospheric particles with a diameter less than 2.5 microns
PM10 Particulate Matter < 10 µm
mass of atmospheric particles with a diameter less than 10 microns

about ocean waves

Significant Wave Height is the average height of the highest 1/3 of waves at a particular point in the ocean. There's a great writeup here describing what this means.

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.

keyboard shortcuts

e show the menu
escape close dialog/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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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 2017. 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) 2017 Cameron Beccario