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Satellite Imagery - GOES-East
These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases.
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Satellite Imagery - GOES-West
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These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are long-wave radiations emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Four types of products are currently generated from the GOES-West and GOES-East satellites: "NightIR" and "NightMicrophysics", at 2km resolution, are generated 24 hours a day with infrared channels, so are visible both night and day, and "NaturalColour" and "DayCloudConvection", at 1km resolution, which combine visible light channels with infrared channels; their higher resolution makes the latter two products more popular, but they are not available during most of the night (between 02UTC and 07UTC for GOES-Est, and between 06UTC and 11UTC for GOES-Ouest) given the absence of reflected sunlight. Other RGB products should be added gradually in the future to meet different needs.
Satellite Imagery Products: Australian Bureau of Meteorology
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The Bureau of Meteorology provides the Australian and international maritime communities with weather forecasts, warnings and observations for coastal waters areas and high seas around Australia. Generally most of these services are provided routinely throughout the day, while marine weather warnings may be issued at any time when the need becomes apparent. Because of the complex nature of the sea, the Bureau of Meteorology uses advanced computer models to predict the physical characteristics of the ocean. These computer forecasts are used by meteorologists in the preparation of marine forecasts and warnings. The forecasts include wind, weather, sea and swell and are intended to describe the average conditions over specified areas. Marine forecasts have been enhanced by the inclusion of ocean currents and sea-surface temperature forecasts through the BLUElink ocean forecasting initiative. The Satellite Products webpage provides a summary of the satellite data available to users. It includes links to data/imagery relating to marine and terrestrial meteorology along the coast of Australia and globally.
Regional Ensemble Prediction System
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The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day.
Regional Deterministic Precipitation Analysis
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The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 6 or 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar, satellite imagery and numerical weather prediction models. Geographic coverage is North America (Canada, United States and Mexico). Data is available at horizontal resolution of 10 km. Data is only available for the surface level. Analysis data is made available four times a day for 6h intervals and twice a day for the 24h interval. A preliminary estimate is available approximately 1h after the end of the accumulation period, and revised 7h after in order to assimilate gauge data arriving later.
Global Ensemble Prediction System
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The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 32 days once a week on Thursdays at 00UTC). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. The horizontal resolution of the system is 0.35 degree (about 39 km at equator). The system has 84 vertical levels for the forecasts and for the analyses. Predictions are performed twice a day.
Polar Orbiting Satellite Data Archive: Australian Bureau of Meteorology
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The Bureau of Meteorology receives polar orbiter data (i.e. data from satellites whose orbit cross the north and south poles) from two satellites, USA's NOAA satellite, and China's FY-1D satellite. The Bureau's main reception site for NOAA polar orbiting data is Crib Point, with additional sites at Melbourne CBD (until June 2004), Casey, Darwin Alice Springs and Perth. The Bureau archives the 5 channels of the Advanced Very High Resolution Radiometer (AVHRR) High Resolution Picture Transmission (HRPT) data for Melbourne, Casey and Darwin while the Perth data is archived by WASTAC. TIP data [High Resolution Infrared Radiation Sounder (HIRS), Microwave Sounding Unit (MSU), Stratospheric Sounding Unit (SSU) and Data Collection Platform (DCP) data components] are also archived. The Bureau collects and uses data from satellites in the World Meteorological Organization's World Weather Watch system. This satellite information enables national weather services like the Bureau to monitor day to day weather conditions and longer term climate change over the entire globe. Several different types of satellite images are available and we recommend that you read "About Satellite Images". Registered Users can get password access to specially processed images or products. This link provides a list of Satellite products including registered user products and satellite information from other sites.
Canadian Seasonal to Inter-annual Prediction System Seasonal Forecasts
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The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly.
식스티헤르츠 - 기상 환경 위성 영상(천리안 2호 등) API 샘플 데이터
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기상청 및 환경부에서 제공하는 천리안 2호의 전국 위성사진을 특정 기간, 장소를 선정하여 호출할 수 있는 API의 샘플입니다.1. 기상사업자에게만 제공하는 실시간 기상위성 정보를 범용적으로 분석/개발이 가능한 json format으로 제공합니다.2. 환경위성센터에서 제공하는 대기질 정보(이산화황, 이산화질소, 오존 등 5종)를 범용적으로 분석/개발이 가능한 json format으로 제공합니다.3. 자체 확보한 upscaling 및 예측기술로 고해상도 위성영상과 미래를 예측한 결과를 제공합니다.사용자가 필요한 시간/장소만을 호출할 수 있어 데이터 용량 및 저장비용 절감의 장점이 있습니다.API 신청 시 100회 호출을 무료로 제공하는 데모 토큰을 발급해 드리며, 호출수량 제한이 없는 토큰 발급을 희망하실 경우 담당자에게 연락 바랍니다.별도로 커스터마이징된 API 서비스 제공이 가능합니다. 천리안2호에서 관측한 운량, 일사량 데이터로 관심있는 태양광 발전소의 실시간 발전량 예측을 수행할 수 있습니다.천리안2b호에서 관측한 대기오염물질(이산화황, 오존, 이산화질소 등 5종) 데이터로 관심있는 지역의 미래 대기질 예측을 수행할 수 있습니다.필요한 지역(위/경도 입력)과 시점을 선별해 호출 가능합니다.
Defense Meteorological Satellite Program (DMSP)
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The Defense Meteorological Satellite Program (DMSP) satellites collect visible and infrared cloud imagery as well as monitoring the atmospheric, oceanographic, hydrologic, cryospheric and near-Earth space environments. The DMSP program maintains a constellation of sun-synchronous, near-polar orbiting satellites. The orbital period is 101 minutes and inclination is 99 degrees. The atmospheric and oceanographic sensors record radiances at visible, infrared and microwave wavelengths. The solar geophysical sensors measure ionospheric plasma fluxes, densities, temperatures and velocities. DMSP visible and infrared imagery of clouds covers a 3,000 km swath, thus each satellite provides global coverage of both day night time conditions each day. The field view of the microwave imagers and sounders is only 1,500 km thus approximately 3 days data are required for one instrument to provide global coverage at equatorial latitudes. The solar geophysical instruments make in-situ measurements of ionospheric parameters, some of which vary very rapidly. The NOAA National Centers for Environmental Information (formerly National Geophysical Data Center) receive the complete DMSP data stream from the Air Force Weather Agency (AFWA), Offutt Air Force Base, Omaha, Nebraska. Data are currently transmitted in near realtime from AFWA directly to the archive via a designated T1 line. Archive processing prepares orbital data sets of calibrated, quality assessed data organized as a time-series, restores data lost during transmission,and accurately computes satellite positions. NCEI maintains an archive of all data recorded on DMSP satellites as relayed to The NOAA National Centers for Environmental Information (formerly National Geophysical Data Center) by the Air Force Weather Agency. Data from March 1992 to March 1994, are considered to be experimental. After March 1994, the system was fully operational. NCEI archives contain data that are post process reconstructed, positioned and geolocated using the same software.