earth 배너 사진

earth

전세계 날씨상황
슈퍼컴퓨터 예보
3시간마다 업데이트

 

ocean surface current estimates
updated every day

 

해수면 온도 및
일평균으로부터의 이상 (1981-2011)
매일 업데이트

 

바다의 파도는
3시간 마다 업데이트 됩니다

 

오로라는
매 30분마다 업데이트됩니다

artwork Point.B Studio에서 작품을 사면 이 사이트에 도움이 됩니다

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커뮤니티 페이스북 페이지
제작자 Cameron Beccario @cambecc
무료 버전의 소스 코드 github.com/cambecc/earth
사용한 라이브러리 D3.js
node.js
기후 데이터 GFS (Global Forecast System)
EMC / NCEP / NWS / NOAA
해류 데이터 OSCAR v2.0
Earth & Space Research
Global Ocean Physics Analysis and Forecast
E.U. Copernicus Marine Service Information (CMEMS). Marine Data Store (MDS). DOI: 10.48670/moi-00016
해수면 온도 OI SST (Optimum Interpolation Sea Surface Temperature) V2.1
NOAA Physical Sciences Laboratory, Boulder, Colorado, USA
note: OI SST data is preliminary if fresher than two weeks and may change
OSTIA (Operational Sea Surface Temperature and Sea Ice Analysis)
UK Met Office + GHRSST + E.U. Copernicus Marine Service Information (CMEMS)
RTGSST (Real Time Global Sea Surface Temperature)
MMAB / EMC / NCEP / NWS / NOAA
파랑 WAVEWATCH III
MMAB / EMC / NCEP / NWS / NOAA
Bleaching Alert Area Coral Reef Watch / NOAA
에어로졸과 화학물질 GEOS-5 (Goddard Earth Observing System)
GMAO / NASA
CAMS (Copernicus Atmosphere Monitoring System)
Copernicus / European Commission + ECMWF
오로라 OVATION
SWPC / NCEP / NWS / NOAA
Processing script written by Dr. Stephanie Deppe (profile)
Ultraviolet Index and Erythemal Dose Rate Climate Prediction Center / NCEP / NWS / NOAA
Active Fires Fire Information for Resource Management System (FIRMS) / EOSDIS / NASA
(see discussion below)
GRIB/NetCDF 디코더 UCAR/Unidata THREDDS
지도 데이터 Natural Earth
호스팅 CloudFlare
Amazon S3
글꼴 M+ FONTS
Google Noto Fonts
Icons Font Awesome Free by @fontawesome - CC BY 4.0
번역 관리 OneSky
색상 스케일 ColorBrewer2.org
Kindlmann Linear Luminance
MYCARTA
Dave Green's cubehelix
워터맨도법 watermanpolyhedron.com
프로토타입 air.nullschool.net
영감 HINT.FM wind map

대기압은 일반적으로 고도에 반비례합니다
몇몇 대기압의 경우 기상학적으로 특별한 의미를 지닙니다
지구가 매끄러운 구라 가정하고 계산합니다
참고: 1 헥토파스칼 (hPa) = 1 밀리바 (mb)

1000 hPa 00,~100 m, 해수면 근처
850 hPa 0~1,500 m, planetary boundary, low
700 hPa 0~3,500 m, planetary boundary, high
500 hPa 0~5,000 m, vorticity
250 hPa ~10,500 m, 제트 기류
70 hPa ~17,500 m, 성층권
10 hPa ~26,500 m, 머나먼 성층권

"표면"은 지면이나 수면을 말하며
이는 산이나 골짜기의 윤곽을 따라 정해집니다.

 

오버레이에서는 색상을 이용해 지도에 대략적인 값을 표시하며
특정 고도에서만 유효한 오버레이도 있고
그 외에는 어느 고도에서나 유효합니다

바람 특정 고도에서의 풍속
온도 특정 고도에서의 기온
상대습도 특정 고도에서의 상대습도
WBT wet bulb temperature at 2m above surface
calculated from GFS dry bulb temperature, dew point temperature, and pressure variables using the approach from Brice and Hall
Dew dew point temperature at 2m above surface
WPD 풍력 에너지 밀도
바람이 가진 힘의 단위입니다: ½ρv3, 여기서 p는 공기 밀도이고 v는 풍속입니다
TPW Total Precipitable Water
지상에서 우주까지 뻗은 기둥에서 대기에 포함된 물의 양
TCW 총 구름 수분함량
지상에서 우주까지 뻗은 기둥에서 구름에 포함된 물의 양
3HPA 3시간 강수량
다음 3시간 동안의 강수량
CAPE Convective Available Potential Energy from Surface
공기가 떠오를 때 쓸 수 있는 힘으로, 대기 불안정 및 악천후를 예측하는 데 이용할 수 있음
MSLP Mean Sea Level Pressure
air pressure reduced to sea level
MI 불쾌지수
perceived air temperature as combination of heat index and wind chill
UVI Ultraviolet Index
risk of harm from unprotected sun exposure due to the strength of sunburn-producing ultraviolet (UV) radiation
0 - 2 low
3 - 5 moderate
6 - 7 high
8 - 10 very high
11+ extreme
해수면 온도 Sea Surface Temperature
temperature of the ocean surface
해수면 이상수온 Sea Surface Temperature Anomaly
RTG-SST: 1981부터 2011년 사이의 해수 온도 일일 평균 차
OSTIA: calculated from 1981–present Pathfinder climatology
OI SST: calculated from 1971-2000 OI SST V2 climatology
HTSGW Significant Wave Height
roughly equal to mean wave height as estimated by a "trained observer"
BAA Bleaching Alert Area (7-day maximum)
the level of coral bleaching heat stress:
No Stress No heat stress or coral bleaching is present.
Bleaching Watch Low-level heat stress is present.
Bleaching Warning Risk of possible bleaching. Heat stress is accumulating.
Alert Level 1 Risk of reef-wide bleaching. Significant coral bleaching is likely.
Alert Level 2 Risk of reef-wide bleaching with mortality of heat-sensitive corals. Severe coral bleaching and significant coral death is likely.
Alert Level 3 Risk of multi-species mortality.
Alert Level 4 Risk of severe, multi-species mortality (> 50% of corals).
Alert Level 5 Risk of near complete mortality (> 80% of corals).
COsc 일산화탄소 지표 농도
the fraction of carbon monoxide present in air at the earth's surface
CO2sc 이산화탄소 지표 농도
the fraction of carbon dioxide present in air at the earth's surface
SO2sm 지표 아황산가스량
amount of sulfur dioxide in the air near the earth's surface
NO2 Nitrogen Dioxide
amount of nitrogen dioxide in the air near the earth's surface
DUex 분진 소광
the aerosol optical thickness (AOT) of light at 550 nm due to dust
SO4ex 황산염 소광
the aerosol optical thickness (AOT) of light at 550 nm due to sulfate
PM1 초미세먼지 < 1 µm
mass of atmospheric particles with a diameter less than 1 micron
PM2.5 초미세먼지 < 2.5 µm
mass of atmospheric particles with a diameter less than 2.5 microns
PM10 미세먼지 < 10 µm
mass of atmospheric particles with a diameter less than 10 microns
OMaot Organic Matter aerosol optical thickness
The aerosol optical thickness (AOT) of light at 550 nm due to organic matter suspended in air.
This layer can be interpreted as the thickness of smoke from wildfires and other sources of combustion.

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.

CO2 농도
2017-01-24 04:30 UTC 이전 자료 열람 시 참고 사항

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.

2017-01-24 UTC부터는 GEOS-5가 업그레이드 되었으므로 더 이상 값을 조정할 필요가 없습니다.

면책 조항

화학물질 및 미세먼지 레이어 구현에 사용된 GEOS-5 데이터를 이용할 때 다음 면책 조항을 읽어보십시오: GEOS 시스템을 활용한 예측 데이터는 실험적이며 연구 목적으로만 생성되었습니다. 이러한 예측을 단순 조사 이외의 사안에서 이용하는 것은 권장하지 않습니다.

에어로졸과 소광 효과

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.

about active fire data

Fire data is a combination of VIIRS 375m NRT (NOAA-20) and VIIRS 375m NRT (Suomi NPP) active fire products. Each fire detection data point contains the time of detection (when the satellite made the measurement) and the Fire Radiative Power (FRP) in units of megawatts (MW). For more information on how to interpret the readings, see the FIRMS FAQ and the detailed discussion of VIIRS I-Band 375 m Active Fire Data.

We acknowledge the use of data and/or imagery from NASA's Fire Information for Resource Management System (FIRMS), part of NASA's Earth Observing System Data and Information System (EOSDIS).

키보드 단축키

e 메뉴를 띄우기
escape 메뉴/대화창 닫기
n 현재로 가기(가장 최근의 데이터로)
shift-c 날짜 선택 달력 표시하기
j 한 단계 과거로
shift-j 여러 단계 과거로
k 한 단계 미래로
shift-k 여러 단계 미래로
g 격자 켜고 끄기
p 애니메이션 켜고 끄기
shift-h 고화질 모드 켜고 끄기
shift-t show settings
i 고도 한 단계 높이기
shift-i 성층권으로 올라가기
m 고도 한 단계 내리기
shift-m 표면으로 내려가기
d zoom in
shift-d zoom in faster
x zoom out
shift-x zoom out faster
w rotate up
shift-w rotate up faster
z rotate down
shift-z rotate down faster
a rotate left
shift-a rotate left faster
s rotate right
shift-s rotate right faster

번역해주신 분들

Александр Попов Вячеслав Епиков 1599763839 1992pb 2451158917 피시 afropolakwot agagey Aleksander Alexander Kirilov Alexey Dmitriev Alexey Korsakov AlexOrlovets Anderson Porto Andre Lz Andrea de Franco Andrew Pedrini Andrey Bagmanov Antonpek arquerogonza Artur Wisniewski ashawesoman ashvin.j.sherathiya astrostrong asveruz atom Belore Stergann bgij bidulem3 Birg3r Bohuslav Šín Bram Versteeve Bryan carina.bringedal carlofrc Cassiel Bclamson Ching-ping Yu Christian Leroux contact cuxcoll Daniel Bartsch Daniel Isak Marinosson Daniel Pawlowski Daniel Rakoczy danielruiz1636 Darlite davalenciano98 Davide Carlier Denat250 deus.05 Dimitris T. Papadimitriou dlo.daniel Dominic Douglas dsantosgtm dustyhofman e Eason Huang egarpunov elier.pila Eric Kim essaii32 estefilippini fantasy_lcl farrasoctara Felipe Faria florian-lerch franci00 FranklinZhang Frederik T. de Ridder fthmiln georg.loesel gherlainfo giacomo.gerosa Gian Centeno giospud gonzalo.ag88 gporter.seadog graceang graham.rimmington grol2901 Hebel holgersson Hyung Wook Jung Ichiro Wang Ignacio Sanz iii1212 InfoSecOne Jae Soo Park Jiří Batelka Joanna Rinne Joao Correia jocelot Jomari Joseph Barrera Jonathan Yang Jose A. Frias Morales juanpaexpedite kai.s.mueller Karol Sapiński Kiyun Jeon kjetil.hoiby kty5663 ku5an2901 laurapaccini leandro1212 leticia.tahnee lretamal Luboš Motl marcello.carreira marco.prosdocimo Mark markeletona Markus Schley Martine Bolzinger Matt Tang Mattia Raffa mavilesilva melfi Melissa Ortiz Massó Meow Wang mgb Michael Purer Michael Michel Rivero mikami_1966.1118 mikele.fit95 Miquel Bayo Moreno mir597 MirageF1AZ Miroslaw Lisiak Mohannad Alahmadi m_strugale nando nunolava1998 Olivier OLS-RU Oğuzhan Arı Paul Bachem Paweł Kowalczyk pdobrev Personim Intaned Philippe Jabet Plamen Dobrev ProffLex P_A_N_D_A_M_A_N Rafael Nonato Bassora rajeshgodvani RaskiPL reyfran8 Riccardo Monfardini robertrosalex Roger Helman Roller978 rosariainpo Russel Schwartz santiago.giraldoc sapan021 sarogrom Seongmin Park september43 Seregalsv Serega silverhaze030 Simone Dragoni siudzin98 skyneon77 sombrasbaul Somil Thesia Stephen Flynn Steven SUGIMOTO Tatsuo Sunny Miu Tayseer M Alhibshi Telmo John tenderstart thanhhuyenlth Thomas Middelveld Thorsten Schleicher tigormal tigra200sx Tomasz Waligóra torstenleibrich tsuka tama ulaszewski.bartosz ultordima Vasily Tarasenko vhc1967 Vu Thuong Víctor Velarde wasted webfreelance Wonmin Jeong wtlovergirl xesmedic xorpid xrdeem xsqz 潘柏綸 yaawwad Yauhen Bahashou youngjune4498 Youngmin Jeon Yukun Chen zackcaussy Zulus Οverlord

Selected-by-CLEAN logo

Selected for inclusion in the Climate Literacy and Energy Awareness Network (CLEAN) collection of educational resources.

이 사이트에서 사용된 GEOS-5 데이터는 NASA 고다드 우주 비행 센터의 글로벌 모델링 및 동화 사무소(GMAO)에서 NASA 기후 시뮬레이션 센터의 온라인 데이터 포털을 통해 제공되었습니다

Generated using Copernicus Atmosphere Monitoring Service Information 2017-2020. Neither the European Commission nor ECMWF is responsible for any use that may be made of this information.

날씨 및 해양 데이터는 수치 모델로부터 생성됩니다

earth.nullschool.net는 자료의 정확도를 보장하지 않습니다.

Copyright (c) 2024 Cameron Beccario