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#modis

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MINIMARKET ONLINE LTD

Hardline Republicans in the U.S. House of Representatives blocked President Donald Trump's sweeping tax bill on Friday over concerns it did not do enough to cut spending hours before Moody's stripped the federal government of its once top-tier credit rating. Moody's, which was the last of the three major ratings agencies to rate U.S. AAA, warned that the nation's debt burden could reach 134% of gross domestic product by 2035, compared with 98% in 2024. #us #usa #news #America #trump #modis

MINIMARKET ONLINE LTD

Hardline Republicans in the U.S. House of Representatives blocked President Donald Trump's sweeping tax bill on Friday over concerns it did not do enough to cut spending hours before Moody's stripped the federal government of its once top-tier credit rating. Moody's, which was the last of the three major ratings agencies to rate U.S. AAA, warned that the nation's debt burden could reach 134% of gross domestic product by 2035, compared with 98% in 2024. #us #usa #news #America #trump #modis

Tino Eberl

Mithilfe von #Satellitendaten erkennt ein neues Verfahren das winzige #Zooplankton Calanus finmarchicus, das für Nordatlantische #Glattwale lebenswichtig ist.

Die Methode hilft, Fressgebiete im Golf von Maine vorherzusagen. Das könnte Kollisionen mit Schiffen und Verwicklungen in Fischereigeräte reduzieren. Die Daten stammen von NASA-Instrumenten wie #MODIS und künftig #PACE.

dx.doi.org/10.3389/fmars.2025.

FrontiersFrontiers | Ocean color anomaly detection to estimate surface Calanus finmarchicus concentration in the Gulf of Maine
#Weltnaturschutz#Meeresforschung#Klimawandel
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anlomedad

"Satellite-based evidence of recent decline in global forest recovery rate from tree mortality events" by Yuchao Yan et al 2025.
Fascinating and educational. All the more for us in Germany and Finland, and likely other Europeans, whose forests morphed from CO2 sink to source. The study ends with 2020 data tho, Europe with 2018.
Only non-fire mortality events were analyzed.
I learned how recovery after a drought-driven forest mortality event depends on🌡️💧during recovery; not so much the event severity.
nature.com/articles/s41477-025
Free e-pdf provided by one of the authors:
rdcu.be/eigV4

Don't know about you but to me, a paper is particularly "good" if I'm left with a host of new pressing questions. "Why did they..? Was it maybe ..? What if it had been...?"

For a recovery phase, they differentiate between recovery of the canopy greening and recovery of water content in the canopy. Both are based on satellite obs only. And if a satellite image suggests greening is recovered to pre-mortality level, it might not actually be re-greening from recovered old or new young trees but could be merely dense shrubbery. The Greening parameter is often used to glean carbon stock. Shrubs have less biomass=less carbon than trees.
The water content in the canopy then somehow helps to clarify the actual recovery state. How? 🤷‍♀️

Water content in canopy always takes far longer to recover than re-greening.
Longer = years and years longer.
Always = in the 1980s as well. Which I take as: that's the normal baseline behaviour for a given biome, a given latitude zone, a given climate zone, a given elevation, a given human intervention etc.

Supplementary Fig. 5. c and d show numbers for North America and Tropics static-content.springer.com/es .
Recovery Time in years for water in canopy in North America
in the 1990s took 2 - 12, average 6.
in the 2000s took 2 - 18, average 9.

in the Tropics:
in the 1990s took 2 - 12, average 6.
in the 2000s took 2 - 11, average 7.

Europe is missing an extra whiskers plot. Maybe they saved this for their next paper. But European events are included up to 2018, if I got it right.

With all the factors to be considered, and bias in numbers of events in any given factor, making recovery comparable across regions, across biomes, across climate zones, a global average doesn't seem very useful.
However, here are the global numbers from Figure 1d for
Recovery time RT for water in canopy. In the 1980s RT was between 2 and 15, average 8, median 6 .
In the 1990s, RT was 2 - 22, average 8, median 6.
In the 2000s, RT was 2 - 20, average 9, median 9 years.

Am curious wrt the missing potential cause for the greatly reduced RecoveryTime in the 2010s in Fig.1d. Is that an artefact of the shortened observation time for these 10 most recent mortality yrs?
And Greening recovered astonishingly quickly in the 2010s. is it the high CO2 fertilisation or a regional bias from the events in this period?

NatureSatellite-based evidence of recent decline in global forest recovery rate from tree mortality events - Nature PlantsSatellite data show declining global forest recovery from tree mortality since the 1990s, driven by warming and water scarcity. Canopy water recovers slower than greenness, stressing the need for a multifaceted approach to assessing recovery.
#climate#ecosystem#drought
Adam Collins

MODIS imaging is so cool but also jaw-dropping. This datapoint indicates that the 1km by 1km pixel grid point was estimated to be radiating almost 500 MW of power along the perimeter of the Airport fire (near Los Angeles) today.

I've seen MODIS datapoints up to 3.2 GW, so, again to the jaw-dropping part, do 1km squares of wildfires occasionally produce nuclear power station levels of thermal emissions? Is that right?

#nasa#modis#wildfire
Tino Eberl

#NASA hat mit dem #GEOS-Modell eine beeindruckende globale Karte des #CO2-Ausstoßes erstellt. Das hochauflösende #Wettermodell nutzt #Supercomputer und Milliarden von Datenpunkten, um atmosphärische Ereignisse wie #Stürme und #Wolkenformationen darzustellen. Das Modell zieht Daten von #Erdbeobachtungen und #Satelliteninstrumenten, darunter #MODIS und #VIIRS, heran und liefert eine Auflösung, die über 100 Mal höher ist als die typischer Wettermodelle.

#Klimaforschung

svs.gsfc.nasa.gov/14631

NASA Scientific Visualization Studio · NASA Scientific Visualization Studio | Model Behavior: Visualizing Global CO2Universal Production Music: Prismatic by David Stephen Goldsmith [ PRS ]Complete transcript available. || 14631_DYAMONDThumbnailHorz.jpg (1280x720) [291.1 KB] || 14631_DYAMONDThumbnailHorz_print.jpg (1024x576) [222.2 KB] || 14631_DYAMONDThumbnailHorz_searchweb.png (320x180) [91.4 KB] || 14631_DYAMONDThumbnailHorz_thm.png (80x40) [7.1 KB] || 14631_DYAMOND_Horz.webm (3840x2160) [32.4 MB] || 14631_dyamondhorz_US.en.en_US.srt [2.3 KB] || 14631_dyamondhorz_US.en.en_US.vtt [2.2 KB] || 14631_DYAMOND_Horz.mp4 (3840x2160) [267.6 MB] ||
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Chuck Darwin

A brand new NASA video reveals the fascinating patterns of carbon dioxide moving around our atmosphere.

The visualization shows #CO2 pouring out from major cities in the U.S., before being blown into swirling eddies by atmospheric currents.

The video, which shows the CO2 patterns between January and March 2020, was created using a model named the Goddard Earth Observing System ( #GEOS ),

which uses supercomputers to simulate the atmosphere based on data from satellite instruments including the Terra satellite's #MODIS and the Suomi-NPP satellite's #VIIRS, as well as ground observations

youtu.be/zZ-lMDtiI-k

YouTubeModel Behavior: Visualizing Global Carbon DioxideBy NASA Goddard
Doug Bostrom

Has happened often enough that it's fairly obvious by now: experimental #EO projects arguably should always include a transition roadmap for operational use, mission overlap etc.

"The NASA MODIS instruments were originally designed to meet research needs and were never considered as operational; but with their longevity, their use has evolved as they continue to provide long-term data records."

Leaving a mad scramble of splicing etc. See GRACE et al.

#MODIS
#VIIRS

sciencedirect.com/science/arti

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