This website works best with a newer web browser such as Chrome, Firefox, Safari or Microsoft Edge. Internet Explorer is not supported by this website.

Flooding in North Dakota, Minnesota and South Dakota

Comparison of a Landsat-8 False Color Red-Green-Blue (RGB) image with the corresponding GOES-16 ABI Flood Detection product as viewed using RealEarth (above) showed the extent of flooding along the Red River of the North (which forms the border of North Dakota and Minnesota, and flows northward into Manitoba) on 22 April 2019. The Red... Read More

Landsat-8 False Color RGB image and GOES-16 Flood Detection product [click to enlarge]

Google Maps background, Landsat-8 False Color RGB image and GOES-16 ABI Flood Detection product [click to enlarge]

Comparison of a Landsat-8 False Color Red-Green-Blue (RGB) image with the corresponding GOES-16 ABI Flood Detection product as viewed using RealEarth (above) showed the extent of flooding along the Red River of the North (which forms the border of North Dakota and Minnesota, and flows northward into Manitoba) on 22 April 2019. The Red River flooding was a result of a relatively rapid Spring snow melt — a significant Winter snow cover across eastern North Dakota and northwestern Minnesota reached a peak in early March.

The Flood Detection product — originally developed for use with Suomi NPP VIIRS data, but adapted for use with GOES-16 ABI data — provides an estimate of land fractions with flooding water (green to yellow to red shades) along with regions of ice, snow cover, cloud and shadows. In the example above, much of Devils Lake in the southwest portion of the satellite scene was classified as ice (cyan), as the melting of winter ice was still in progress.

A closer view of the Landsat-8 False Color Red-Green-Blue (RGB) image and the corresponding GOES-16 ABI Flood Detection product for a portion of the Red River is shown below — the level of the Red River at Oslo, Minnesota was over 37 feet (hydrograph), at which point ND State Highway 54 has water over the road, MN State Highway 1 overtops and water affects the Canadian Pacific railroad tracks west of Oslo.

Google Maps background, Landsat-8 False Color RGB image and GOES-16 Flood Detection product [click to enlarge]

Google Maps background, Landsat-8 False Color RGB image and GOES-16 ABI Flood Detection product [click to enlarge]

Farther to the south, Landsat-8 False Color Red-Green-Blue (RGB) imagery along with the corresponding Suomi NPP VIIRS and GOES-16 ABI Flood Detection products over part of the James River (and upstream reservoirs) in northeastern South Dakota is shown below. Note that the higher spatial resolution of the VIIRS product (375 meters) indicated higher fractions of land with flooding water — up to 90% (red) compared to 60% (orange) with the ABI product.

Google Maps background, Landsat-8 False Color RGB image,and Suomi NPP VIIRS + GOES-16 Flood Detection products [click to enlarge]

Google Maps background, Landsat-8 False Color RGB image, and Suomi NPP VIIRS + GOES-16 Flood Detection products [click to enlarge]

View only this post Read Less

Unusually dry air over the Upper Midwest

GOES-16 (GOES-East) Low-level (7.3 µm) and Mid-level (6.9 µm) Water Vapor images (above) revealed a southwest-to-northeast oriented band of anomalously-dry air along the northwest periphery of a slow-moving low pressure center over the eastern US on 20 April 2019. The hourly dew point dropped to 10ºF at Chicago O’Hare, with a Relative Humidity value of 12%... Read More

GOES-16 Low-level (7.3 µm, left) and Mid-level (6.9 µm, right) Water Vapor images [click to play animation | MP4]

GOES-16 Low-level (7.3 µm, left) and Mid-level (6.9 µm, right) Water Vapor images, with hourly plots of surface reports [click to play animation | MP4]

GOES-16 (GOES-East) Low-level (7.3 µm) and Mid-level (6.9 µm) Water Vapor images (above) revealed a southwest-to-northeast oriented band of anomalously-dry air along the northwest periphery of a slow-moving low pressure center over the eastern US on 20 April 2019. The hourly dew point dropped to 10ºF at Chicago O’Hare, with a Relative Humidity value of 12% — a new record low value for Chicago. In addition, the dew point dropped to 6ºF at the Chicago Midway and Chicago Executive airports. With this dry air in place, note that the coastline of a portion of southern Lake Michigan could be seen in the 7.3 µm (and to a lesser extent, the 6.9 µm) Water Vapor images.

AWIPS examples of the GOES-16 Low-level and Mid-level Water Vapor imagery are shown below.

GOES-16 Low-level (7.3 µm) and Mid-level (6.9 µm) Water Vapor images [click to play animation | MP4]

GOES-16 Low-level (7.3 µm) and Mid-level (6.9 µm) Water Vapor images [click to play animation | MP4]

A larger-scale view of the GOES-16 Low-level Water Vapor (7.3 µm) image at 1201 UTC (below) showed that the Gaylord, Michigan (KAPX) and Lincoln, Illinois (KILX) rawinsonde sites were located within the elongated zone of dry air.

GOES-16 Low-level Water Vapor (7.3 µm) image, with plots of rawinsonde sites [click to enlarge]

GOES-16 Low-level Water Vapor (7.3 µm) image at 1201 UTC, with plots of rawinsonde sites [click to enlarge]

Plots of GOES-16 Water Vapor weighting functions for Gaylord, Michigan (KAPX) and Lincoln, Illinois (KILX) at 12 UTC (below) showed significant contributions from Band 10 (7.3 µm, violet) radiation originating at the surface — this allowed the thermal signature of the outline of Lake Michigan to be easily seen in the 7.3 µm Water Vapor imagery. Although the contribution of Band 9 (6.9 µm, blue) radiation originating near the surface was small, it was still enough to enable a brief and subtle coastal signature to be seen in the 6.9 µm images.

GOES-16 Water Vapor weighting functions for Gaylord, Michigan and Lincoln, Illinois at 12 UTC [click to enlarge]

GOES-16 Water Vapor weighting functions for Gaylord, Michigan (KAPX) and Lincoln, Illinois (KILX)  at 12 UTC [click to enlarge]

Plots of Total Precipitable Water sounding climatology for Gaylord, Michigan (KAPX) and Lincoln, Illinois (KILX), with record minimum values for 20 April at 12 UTC highlighted within a red box (below) showed that the 0.10″ at KAPX and the 0.12″ at KILX set new records for that date/time.

Plots of Total Precipitable Water sounding climatology for Gaylord, Michigan (KAPX) and Lincoln, Illinois (KILX), with record minimum values for 20 April at 12 UTC highlighted within a red box [click to enlarge]

Plots of Total Precipitable Water sounding climatology for Gaylord, Michigan (KAPX) and Lincoln, Illinois (KILX), with record minimum values for 20 April at 12 UTC highlighted within a red box [click to enlarge]

View only this post Read Less

Smoke in the Gulf of Mexico

GOES-16 (GOES-East) “Red” Visible (0.64 µm) images (above) showed some clearing of the dense pall of smoke across the far western Gulf of Mexico in the wake of a cold front that was moving southward/southeastward off the Texas coast on 18 April 2019. The parallel wave clouds of an undular bore were... Read More

GOES-16

GOES-16 “Red” Visible (0.64 µm) images, with surface fronts plotted in cyan [click to play animation | MP4]

GOES-16 (GOES-East) “Red” Visible (0.64 µm) images (above) showed some clearing of the dense pall of smoke across the far western Gulf of Mexico in the wake of a cold front that was moving southward/southeastward off the Texas coast on 18 April 2019. The parallel wave clouds of an undular bore were also evident ahead of the cold front from 13-16 UTC — the bore was also causing horizontal convective roll perturbations in the smoke about 20-40 miles ahead of the wave clouds (1506 UTC image).

The hazy signature of smoke was better defined in GOES-16 True Color Red-Green-Blue (RGB) images from the AOS site (below). This smoke was the result of widespread annual Springtime agricultural burning across southern Mexico, Guatemala, Belize and Honduras. Toward the end of the day, additional small plumes of smoke and blowing dust could  be seen moving back across the Gulf of Mexico into the “cleaner” air behind the cold front.

GOES-16 True Color RGB images [click to play animation | MP4]

GOES-16 True Color RGB images [click to play animation | MP4]

Thermal anomalies or “hot spots” (yellow to red pixels) associated with the larger fires in Mexico, Guatemala, Belize and Honduras could be seen in GOES-16 Shortwave Infrared (3.9 µm) images (below).

GOES-16 Shortwave Infrared (3.9 µm) images [click to play animation | MP4]

GOES-16 Shortwave Infrared (3.9 µm) images [click to play animation | MP4]

A map of fires detected by Suomi NPP VIIRS on the previous day is shown below, as viewed using RealEarth.

Fires detected by Suomi NPP VIIRS on 17 April [click to enlarge]

Fires detected by Suomi NPP VIIRS on 17 April [click to enlarge]

View only this post Read Less

Ice in the Sea of Okhotsk

JMA Himawari-8 “Red” Visible (0.64 µm) images (above) revealed circulations of ice within the Sea of Okhotsk (east of Sakhalin Island — station identifier UHSS is Yuzhno-Sakhalinsk, Russia) on 17-18 April 2019. Wind stress from an occluded Gale Force Low moving through that region on the previous day (surface analyses) likely helped to... Read More

Himawari-8

Himawari-8 “Red” Visible (0.64 µm) images [click to play animation | MP4]

JMA Himawari-8 “Red” Visible (0.64 µm) images (above) revealed circulations of ice within the Sea of Okhotsk (east of Sakhalin Island — station identifier UHSS is Yuzhno-Sakhalinsk, Russia) on 17-18 April 2019. Wind stress from an occluded Gale Force Low moving through that region on the previous day (surface analyses) likely helped to enhance some of the ice circulations.

In a comparison of Himawari-8 “Red” Visible (0.64 µm) and Near-Infrared “Snow/Ice” (1.61 µm) images (below), note that the ice appears much darker than cloud features (since ice is a strong absorber of radiation at the 1.61 µm wavelength).

Himawari-8 "Red" Visible (0.64 µm, left) and Near-Infrared "Snow/Ice" (1.61 µm, right) images [click to play animation | MP4]

Himawari-8 “Red” Visible (0.64 µm, left) and Near-Infrared “Snow/Ice” (1.61 µm, right) images [click to play animation | MP4]

Thanks to Thomas Birchard (NWS Honolulu) for bringing this interesting feature to our attention!

View only this post Read Less