NOAA 19 Global

NOAA 19 North America

The Hurricane Intensity algorithm makes use of the ABI longwave infrared window band to monitor changes in the cloud top temperature near the tropical cyclone center. An analysis of the cloud top temperature field over the tropical cyclone center, together with a cloud pattern recognition analysis, enables the retrieval of an intensity estimate for the tropical cyclone valid at the time of the ABI image. The tropical storm intensity estimate is output as maximum sustained 1-minute surface winds (Kts), the tropical storm. Hurricane Intensity estimates will provide critical guidance to forecasters at tropical cyclone forecast centers regarding tropical cyclone storm intensity from storm formation, through development and maturation, to dissipation.

The Land Surface Temperature (LST) product is derived from GOES-R ABI longwave infrared spectral channels and is expected to be used in a number of applications in hydrology, meteorology, and climatology. Forecasters use it to forecast the occurrence of fog and frost. The land surface product is of fundamental importance to the net radiation budget at the Earth’s surface and to monitoring the state of crops and vegetation. It is an important indicator of both the greenhouse effect and the energy flux between the atmosphere, it can be assimilated into climate, atmospheric, and land surface models to estimate sensible heat flux and latent heat flux.

Provisional (03/19/2018)

The ABI Rainfall Rate algorithm generates the baseline Rainfall Rate product from ABI IR brightness temperatures and is calibrated in real time against microwave-derived rain rates to enhance accuracy. The algorithm generates estimates of the instantaneous rainfall rate at each ABI IR pixel. The information provided by the QPE is used by forecasters and hydrologists in flood forecasting. Much of the flooding that occurs is related to some form of convective weather. The resolution available on the GOES-R ABI is able to automatically resolve rainfall rates.

Provisional (03/30/2018)
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The Reflected Shortwave Radiation product measures the total amount of shortwave radiation that exits the Earth through the top of the atmosphere. The algorithm uses several spectral channels in both the visible and infrared spectrum to measure the Reflected Shortwave Radiation. Information from this product provides an integral piece of the Earth’s radiation budget, aiding in climate modeling and prediction.

The GOES-R Series provides forecasters with a Sea Surface Temperature (SST) for each cloud-free pixel over water identified by the ABI. The SST algorithm employed on the GOES-R Series uses hybrid physical-regression retrieval in order to produce a more accurate product. Knowledge of the SST can be beneficial for a large spectrum of operational applications that include: climate monitoring/forecasting, seasonal forecasting, operational weather and ocean forecasting, military and defense operations, validating or forcing ocean and atmospheric models, sea turtle tracking, coral bleach warnings and assessment, tourism, and commercial fisheries management.

Beta (05/24/2017)
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The fractional Snow Cover algorithm uses GOES-R ABI spectral information in the visible and near-visible portion of the energy spectrum to retrieve sub-pixel fractional Snow Cover and grain size estimates via computationally efficient spectral mixture modeling. This product will support a number of operational applications that include: assimilation into NOAA’s NOHRC snow model, as well as hydrologic forecasts and warnings, including river and flood forecasts, water management, snowpack monitoring and analysis, and climate studies.

MetOp A Global

MetOp A North America

The Derived Motion Winds product is derived from using a sequence of visible or IR spectral bands to track the motion of cloud features and water vapor gradients. The resulting estimates of atmospheric motion are assigned heights by using the Cloud Height product.

The Derived Stability Indices such as Convective Available Potential Energy (CAPE), Lifted Index (LI), Totals Total (TT), Showalter Index (SI), and the K-Index (KI) will be computed from the retrieved atmospheric moisture profiles. These indices will aid forecasters in nowcasting severe weather will use this information to monitor rapid changes in atmospheric stability over time at various geographic locations.

The Legacy Vertical Moisture Profile product estimates levels of temperature throughout the troposphere. This product is a continuation of the operational sounder product available on the previous GOES satellites. The vertical temperature structure information provided by this product is important for severe weather prediction.

The Legacy Vertical Temperature Profile product estimates levels of temperature throughout the troposphere. This product is a continuation of the operational sounder product available on the previous GOES satellites.

The Total Precipitable Water (TPW) product is computed from the retrieved atmospheric moisture profiles and represents the total integrated moisture in the atmospheric column from the surface to the top of the atmosphere. This product provides useful information to weather improve their situational awareness for forecasting of events, such as heavy rain, flash flooding, onset of Gulf of Mexico return flow.

The Volcanic Ash product algorithm utilizes five GOES-R ABI infrared channels to automatically determine the height and mass loading properties of any pixel found to contain volcanic ash. Forecasters can use the Volcanic Ash product to identify areas where volcanic ash is present and potentially hazardous, and ultimately, issue more accurate aviation, air quality, and public health warnings.

MetOp B Global

DMSP F17 Global

DMSP F17 North America

DMSP F18 Global

Beta (04/19/2017)
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Chair Disposition

NPP Global

GPM Global

GPM North America

GPM Unites States

GPM Eurasia