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#slr — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #slr, aggregated by home.social.

  1. Beyond The 100-Year Flood - Probabilistic Flood Hazard Assessment For King And Pierce Counties Under Future Climate Scenarios
    --
    doi.org/10.5194/nhess-26-3231- <-- shared #openacess paper
    --
    [part of my old stomping ground as an engineering geologist]
    H/T @Kees Nederhoff
    “Flood maps are usually built from a single design storm. For King and Pierce Counties in the Pacific Northwest (USA), [the authors] tried the opposite - simulate 82 years of actual coastal and river conditions (plus 18 synthetic years) with SFINCS and let the statistics fall out cell by cell. That took about 5,400 yearly simulations and 194,000 CPU hours on USGS's Hovenweep HPC. Worth it!
    The design-event shortcut turns out to hide a real hazard. A deterministic 10-year event underestimated flood depths by up to half a meter compared to the continuous runs.
    The bigger surprise [to the authors] was how one-sided the climate signal is. One metre of sea level rise takes King County's expected annual flooded area from 161 --> 787 hectares, almost a factor of five. Changes in storminess over the same horizon barely register. And somewhere between 100 and 150 cm of SLR, land that never floods today starts flooding fast. If you plan adaptation in Puget Sound, that threshold matters more than any single return-period map.
    [They] also propose Expected Annual Flooded Area (EAFA) as a probability-weighted alternative to the binary "inside or outside the 100-year zone" label…”
    #USGS #supercomputing #Hovenweep #HPC #coast #coastal #PNW #Seattle #PacificNorthwest #risk #hazard #riskmanagement #model #modeling #CFRM #deterministic #probabilistic #climatechange #extremeweather #fedscience #WA #KingCounty #PierceCounty #WashingtonState #USA #flood #flooding #compoundflooding #floodmaps #SFINCS #storm #weather #climate #climatechange #rainfall #precipitation #sealevel #sealevelrise #SLR #100yearflood #floodhazardmapping #returnperiods #pluvial #fluvial #spatialanalysis #spatiotemporal #remotesensing #streamgage #history #historicflooding #projections #predictions
    #USGS

  2. Beyond The 100-Year Flood - Probabilistic Flood Hazard Assessment For King And Pierce Counties Under Future Climate Scenarios
    --
    doi.org/10.5194/nhess-26-3231- <-- shared paper
    --
    [part of my old stomping ground as an engineering geologist]
    H/T @Kees Nederhoff
    “Flood maps are usually built from a single design storm. For King and Pierce Counties in the Pacific Northwest (USA), [the authors] tried the opposite - simulate 82 years of actual coastal and river conditions (plus 18 synthetic years) with SFINCS and let the statistics fall out cell by cell. That took about 5,400 yearly simulations and 194,000 CPU hours on USGS's Hovenweep HPC. Worth it!
    The design-event shortcut turns out to hide a real hazard. A deterministic 10-year event underestimated flood depths by up to half a meter compared to the continuous runs.
    The bigger surprise [to the authors] was how one-sided the climate signal is. One metre of sea level rise takes King County's expected annual flooded area from 161 --> 787 hectares, almost a factor of five. Changes in storminess over the same horizon barely register. And somewhere between 100 and 150 cm of SLR, land that never floods today starts flooding fast. If you plan adaptation in Puget Sound, that threshold matters more than any single return-period map.
    [They] also propose Expected Annual Flooded Area (EAFA) as a probability-weighted alternative to the binary "inside or outside the 100-year zone" label…”

  3. Beyond The 100-Year Flood - Probabilistic Flood Hazard Assessment For King And Pierce Counties Under Future Climate Scenarios
    --
    doi.org/10.5194/nhess-26-3231- <-- shared #openacess paper
    --
    [part of my old stomping ground as an engineering geologist]
    H/T @Kees Nederhoff
    “Flood maps are usually built from a single design storm. For King and Pierce Counties in the Pacific Northwest (USA), [the authors] tried the opposite - simulate 82 years of actual coastal and river conditions (plus 18 synthetic years) with SFINCS and let the statistics fall out cell by cell. That took about 5,400 yearly simulations and 194,000 CPU hours on USGS's Hovenweep HPC. Worth it!
    The design-event shortcut turns out to hide a real hazard. A deterministic 10-year event underestimated flood depths by up to half a meter compared to the continuous runs.
    The bigger surprise [to the authors] was how one-sided the climate signal is. One metre of sea level rise takes King County's expected annual flooded area from 161 --> 787 hectares, almost a factor of five. Changes in storminess over the same horizon barely register. And somewhere between 100 and 150 cm of SLR, land that never floods today starts flooding fast. If you plan adaptation in Puget Sound, that threshold matters more than any single return-period map.
    [They] also propose Expected Annual Flooded Area (EAFA) as a probability-weighted alternative to the binary "inside or outside the 100-year zone" label…”
    #USGS #supercomputing #Hovenweep #HPC #coast #coastal #PNW #Seattle #PacificNorthwest #risk #hazard #riskmanagement #model #modeling #CFRM #deterministic #probabilistic #climatechange #extremeweather #fedscience #WA #KingCounty #PierceCounty #WashingtonState #USA #flood #flooding #compoundflooding #floodmaps #SFINCS #storm #weather #climate #climatechange #rainfall #precipitation #sealevel #sealevelrise #SLR #100yearflood #floodhazardmapping #returnperiods #pluvial #fluvial #spatialanalysis #spatiotemporal #remotesensing #streamgage #history #historicflooding #projections #predictions
    #USGS

  4. Beyond The 100-Year Flood - Probabilistic Flood Hazard Assessment For King And Pierce Counties Under Future Climate Scenarios
    --
    doi.org/10.5194/nhess-26-3231- <-- shared #openacess paper
    --
    [part of my old stomping ground as an engineering geologist]
    H/T @Kees Nederhoff
    “Flood maps are usually built from a single design storm. For King and Pierce Counties in the Pacific Northwest (USA), [the authors] tried the opposite - simulate 82 years of actual coastal and river conditions (plus 18 synthetic years) with SFINCS and let the statistics fall out cell by cell. That took about 5,400 yearly simulations and 194,000 CPU hours on USGS's Hovenweep HPC. Worth it!
    The design-event shortcut turns out to hide a real hazard. A deterministic 10-year event underestimated flood depths by up to half a meter compared to the continuous runs.
    The bigger surprise [to the authors] was how one-sided the climate signal is. One metre of sea level rise takes King County's expected annual flooded area from 161 --> 787 hectares, almost a factor of five. Changes in storminess over the same horizon barely register. And somewhere between 100 and 150 cm of SLR, land that never floods today starts flooding fast. If you plan adaptation in Puget Sound, that threshold matters more than any single return-period map.
    [They] also propose Expected Annual Flooded Area (EAFA) as a probability-weighted alternative to the binary "inside or outside the 100-year zone" label…”
    #USGS #supercomputing #Hovenweep #HPC #coast #coastal #PNW #Seattle #PacificNorthwest #risk #hazard #riskmanagement #model #modeling #CFRM #deterministic #probabilistic #climatechange #extremeweather #fedscience #WA #KingCounty #PierceCounty #WashingtonState #USA #flood #flooding #compoundflooding #floodmaps #SFINCS #storm #weather #climate #climatechange #rainfall #precipitation #sealevel #sealevelrise #SLR #100yearflood #floodhazardmapping #returnperiods #pluvial #fluvial #spatialanalysis #spatiotemporal #remotesensing #streamgage #history #historicflooding #projections #predictions
    #USGS

  5. Beyond The 100-Year Flood - Probabilistic Flood Hazard Assessment For King And Pierce Counties Under Future Climate Scenarios
    --
    doi.org/10.5194/nhess-26-3231- <-- shared #openacess paper
    --
    [part of my old stomping ground as an engineering geologist]
    H/T @Kees Nederhoff
    “Flood maps are usually built from a single design storm. For King and Pierce Counties in the Pacific Northwest (USA), [the authors] tried the opposite - simulate 82 years of actual coastal and river conditions (plus 18 synthetic years) with SFINCS and let the statistics fall out cell by cell. That took about 5,400 yearly simulations and 194,000 CPU hours on USGS's Hovenweep HPC. Worth it!
    The design-event shortcut turns out to hide a real hazard. A deterministic 10-year event underestimated flood depths by up to half a meter compared to the continuous runs.
    The bigger surprise [to the authors] was how one-sided the climate signal is. One metre of sea level rise takes King County's expected annual flooded area from 161 --> 787 hectares, almost a factor of five. Changes in storminess over the same horizon barely register. And somewhere between 100 and 150 cm of SLR, land that never floods today starts flooding fast. If you plan adaptation in Puget Sound, that threshold matters more than any single return-period map.
    [They] also propose Expected Annual Flooded Area (EAFA) as a probability-weighted alternative to the binary "inside or outside the 100-year zone" label…”
    #USGS #supercomputing #Hovenweep #HPC #coast #coastal #PNW #Seattle #PacificNorthwest #risk #hazard #riskmanagement #model #modeling #CFRM #deterministic #probabilistic #climatechange #extremeweather #fedscience #WA #KingCounty #PierceCounty #WashingtonState #USA #flood #flooding #compoundflooding #floodmaps #SFINCS #storm #weather #climate #climatechange #rainfall #precipitation #sealevel #sealevelrise #SLR #100yearflood #floodhazardmapping #returnperiods #pluvial #fluvial #spatialanalysis #spatiotemporal #remotesensing #streamgage #history #historicflooding #projections #predictions
    #USGS

  6. [G]lobal Decline In Endorheic Basin Water Storages
    --
    doi.org/10.1038/s41561-018-026 <-- shared paper
    --
    en.wikipedia.org/wiki/Endorhei <-- shared Wikipedia page
    --
    “Endorheic (hydrologically landlocked) basins spatially concur with arid/semi-arid climates. Given limited precipitation but high potential evaporation, their water storage is vulnerable to subtle flux perturbations, which are exacerbated by global warming and human activities. Increasing regional evidence suggests a probably recent net decline in endorheic water storage, but this remains unquantified at a global scale. By integrating satellite observations and hydrological modelling, [they] reveal[ed] that during 2002–2016 the global endorheic system experienced a widespread water loss of about 106.3 Gt/yr, attributed to comparable losses in surface water, soil moisture and groundwater. This decadal decline, disparate from water storage fluctuations in exorheic basins, appears less sensitive to El Niño–Southern Oscillation-driven climate variability, which implies a possible response to longer-term climate conditions and human water management. In the mass-conserved hydrosphere, such an endorheic water loss not only exacerbates local water stress, but also imposes excess water on exorheic basins, leading to a potential sea level rise that matches the contribution of nearly half of the land glacier retreat (excluding Greenland and Antarctica). Given these dual ramifications, [they] suggest the necessity for long-term monitoring of water storage variation in the global endorheic system and the inclusion of its net contribution to future sea level budgeting…”
    #water #hydrology #hydrography #global #waterresources #waterstorage #Endorheic #Basin #watersecurity #arid #semiarid #rainfall #precipitation #spatialanalysis #spatiotemporal #globalwarming #climatechange #humanimpacts #anthropogenic #regional #remotesensing #GIS #spatial #mapping #earthobservation #surfacewater #groundwater #soilmoisture #exorheic #watermanagement #hydrosphere #waterstress #SLR #sealevelrise #monitoring #waterbudgets

  7. [G]lobal Decline In Endorheic Basin Water Storages
    --
    doi.org/10.1038/s41561-018-026 <-- shared paper
    --
    en.wikipedia.org/wiki/Endorhei <-- shared Wikipedia page
    --
    “Endorheic (hydrologically landlocked) basins spatially concur with arid/semi-arid climates. Given limited precipitation but high potential evaporation, their water storage is vulnerable to subtle flux perturbations, which are exacerbated by global warming and human activities. Increasing regional evidence suggests a probably recent net decline in endorheic water storage, but this remains unquantified at a global scale. By integrating satellite observations and hydrological modelling, [they] reveal[ed] that during 2002–2016 the global endorheic system experienced a widespread water loss of about 106.3 Gt/yr, attributed to comparable losses in surface water, soil moisture and groundwater. This decadal decline, disparate from water storage fluctuations in exorheic basins, appears less sensitive to El Niño–Southern Oscillation-driven climate variability, which implies a possible response to longer-term climate conditions and human water management. In the mass-conserved hydrosphere, such an endorheic water loss not only exacerbates local water stress, but also imposes excess water on exorheic basins, leading to a potential sea level rise that matches the contribution of nearly half of the land glacier retreat (excluding Greenland and Antarctica). Given these dual ramifications, [they] suggest the necessity for long-term monitoring of water storage variation in the global endorheic system and the inclusion of its net contribution to future sea level budgeting…”

  8. [G]lobal Decline In Endorheic Basin Water Storages
    --
    doi.org/10.1038/s41561-018-026 <-- shared paper
    --
    en.wikipedia.org/wiki/Endorhei <-- shared Wikipedia page
    --
    “Endorheic (hydrologically landlocked) basins spatially concur with arid/semi-arid climates. Given limited precipitation but high potential evaporation, their water storage is vulnerable to subtle flux perturbations, which are exacerbated by global warming and human activities. Increasing regional evidence suggests a probably recent net decline in endorheic water storage, but this remains unquantified at a global scale. By integrating satellite observations and hydrological modelling, [they] reveal[ed] that during 2002–2016 the global endorheic system experienced a widespread water loss of about 106.3 Gt/yr, attributed to comparable losses in surface water, soil moisture and groundwater. This decadal decline, disparate from water storage fluctuations in exorheic basins, appears less sensitive to El Niño–Southern Oscillation-driven climate variability, which implies a possible response to longer-term climate conditions and human water management. In the mass-conserved hydrosphere, such an endorheic water loss not only exacerbates local water stress, but also imposes excess water on exorheic basins, leading to a potential sea level rise that matches the contribution of nearly half of the land glacier retreat (excluding Greenland and Antarctica). Given these dual ramifications, [they] suggest the necessity for long-term monitoring of water storage variation in the global endorheic system and the inclusion of its net contribution to future sea level budgeting…”
    #water #hydrology #hydrography #global #waterresources #waterstorage #Endorheic #Basin #watersecurity #arid #semiarid #rainfall #precipitation #spatialanalysis #spatiotemporal #globalwarming #climatechange #humanimpacts #anthropogenic #regional #remotesensing #GIS #spatial #mapping #earthobservation #surfacewater #groundwater #soilmoisture #exorheic #watermanagement #hydrosphere #waterstress #SLR #sealevelrise #monitoring #waterbudgets

  9. [G]lobal Decline In Endorheic Basin Water Storages
    --
    doi.org/10.1038/s41561-018-026 <-- shared paper
    --
    en.wikipedia.org/wiki/Endorhei <-- shared Wikipedia page
    --
    “Endorheic (hydrologically landlocked) basins spatially concur with arid/semi-arid climates. Given limited precipitation but high potential evaporation, their water storage is vulnerable to subtle flux perturbations, which are exacerbated by global warming and human activities. Increasing regional evidence suggests a probably recent net decline in endorheic water storage, but this remains unquantified at a global scale. By integrating satellite observations and hydrological modelling, [they] reveal[ed] that during 2002–2016 the global endorheic system experienced a widespread water loss of about 106.3 Gt/yr, attributed to comparable losses in surface water, soil moisture and groundwater. This decadal decline, disparate from water storage fluctuations in exorheic basins, appears less sensitive to El Niño–Southern Oscillation-driven climate variability, which implies a possible response to longer-term climate conditions and human water management. In the mass-conserved hydrosphere, such an endorheic water loss not only exacerbates local water stress, but also imposes excess water on exorheic basins, leading to a potential sea level rise that matches the contribution of nearly half of the land glacier retreat (excluding Greenland and Antarctica). Given these dual ramifications, [they] suggest the necessity for long-term monitoring of water storage variation in the global endorheic system and the inclusion of its net contribution to future sea level budgeting…”
    #water #hydrology #hydrography #global #waterresources #waterstorage #Endorheic #Basin #watersecurity #arid #semiarid #rainfall #precipitation #spatialanalysis #spatiotemporal #globalwarming #climatechange #humanimpacts #anthropogenic #regional #remotesensing #GIS #spatial #mapping #earthobservation #surfacewater #groundwater #soilmoisture #exorheic #watermanagement #hydrosphere #waterstress #SLR #sealevelrise #monitoring #waterbudgets

  10. [G]lobal Decline In Endorheic Basin Water Storages
    --
    doi.org/10.1038/s41561-018-026 <-- shared paper
    --
    en.wikipedia.org/wiki/Endorhei <-- shared Wikipedia page
    --
    “Endorheic (hydrologically landlocked) basins spatially concur with arid/semi-arid climates. Given limited precipitation but high potential evaporation, their water storage is vulnerable to subtle flux perturbations, which are exacerbated by global warming and human activities. Increasing regional evidence suggests a probably recent net decline in endorheic water storage, but this remains unquantified at a global scale. By integrating satellite observations and hydrological modelling, [they] reveal[ed] that during 2002–2016 the global endorheic system experienced a widespread water loss of about 106.3 Gt/yr, attributed to comparable losses in surface water, soil moisture and groundwater. This decadal decline, disparate from water storage fluctuations in exorheic basins, appears less sensitive to El Niño–Southern Oscillation-driven climate variability, which implies a possible response to longer-term climate conditions and human water management. In the mass-conserved hydrosphere, such an endorheic water loss not only exacerbates local water stress, but also imposes excess water on exorheic basins, leading to a potential sea level rise that matches the contribution of nearly half of the land glacier retreat (excluding Greenland and Antarctica). Given these dual ramifications, [they] suggest the necessity for long-term monitoring of water storage variation in the global endorheic system and the inclusion of its net contribution to future sea level budgeting…”
    #water #hydrology #hydrography #global #waterresources #waterstorage #Endorheic #Basin #watersecurity #arid #semiarid #rainfall #precipitation #spatialanalysis #spatiotemporal #globalwarming #climatechange #humanimpacts #anthropogenic #regional #remotesensing #GIS #spatial #mapping #earthobservation #surfacewater #groundwater #soilmoisture #exorheic #watermanagement #hydrosphere #waterstress #SLR #sealevelrise #monitoring #waterbudgets

  11. Sea Levels Rising Dramatically In Some Areas Due To Land Subsidence [global]
    --
    phys.org/news/2026-05-sea-area <-- shared technical article
    --
    doi.org/10.1038/s41467-026-722 <-- shared paper
    --
    [#VLM = vertical land motion; #ASL = absolute sea-level; #RSL = relative sea-level; #GIA = (global) Glacial Isostatic Adjustment; #inSAR = Interferometric Synthetic Aperture Radar; #GNSS = Global Navigation Satellite System (~GPS); #OE24 = paper, doi.org/10.1038/s41561-023-013, interpolated VLM reconstruction based on the joint analysis of GNSS, tide gauges (TGs), and satellite altimetry]
    #GIS #spatial #mapping #remotesensing #earthobservation #sealevel #verticallandmotion #absolutesealevel #relativesealevel #GlacialIsostaticAdjustment #geomorphometry #SLR #sealevelrise #coast #coastal #flood #flooding #subsidence #landmass #landsubsidence #global #globalsealevelrise #climatechange #city #urban #farmlands #population #demographics #cities #planning #community #elevation #monitoring #spatialanalysis #spatiotemporal #altimetry

  12. Sea Levels Rising Dramatically In Some Areas Due To Land Subsidence [global]
    --
    phys.org/news/2026-05-sea-area <-- shared technical article
    --
    doi.org/10.1038/s41467-026-722 <-- shared paper
    --
    [#VLM = vertical land motion; #ASL = absolute sea-level; #RSL = relative sea-level; #GIA = (global) Glacial Isostatic Adjustment; #inSAR = Interferometric Synthetic Aperture Radar; #GNSS = Global Navigation Satellite System (~GPS); #OE24 = paper, doi.org/10.1038/s41561-023-013, interpolated VLM reconstruction based on the joint analysis of GNSS, tide gauges (TGs), and satellite altimetry]
    #GIS #spatial #mapping #remotesensing #earthobservation #sealevel #verticallandmotion #absolutesealevel #relativesealevel #GlacialIsostaticAdjustment #geomorphometry #SLR #sealevelrise #coast #coastal #flood #flooding #subsidence #landmass #landsubsidence #global #globalsealevelrise #climatechange #city #urban #farmlands #population #demographics #cities #planning #community #elevation #monitoring #spatialanalysis #spatiotemporal #altimetry

  13. Sea Levels Rising Dramatically In Some Areas Due To Land Subsidence [global]
    --
    phys.org/news/2026-05-sea-area <-- shared technical article
    --
    doi.org/10.1038/s41467-026-722 <-- shared paper
    --
    [#VLM = vertical land motion; #ASL = absolute sea-level; #RSL = relative sea-level; #GIA = (global) Glacial Isostatic Adjustment; #inSAR = Interferometric Synthetic Aperture Radar; #GNSS = Global Navigation Satellite System (~GPS); #OE24 = paper, doi.org/10.1038/s41561-023-013, interpolated VLM reconstruction based on the joint analysis of GNSS, tide gauges (TGs), and satellite altimetry]
    #GIS #spatial #mapping #remotesensing #earthobservation #sealevel #verticallandmotion #absolutesealevel #relativesealevel #GlacialIsostaticAdjustment #geomorphometry #SLR #sealevelrise #coast #coastal #flood #flooding #subsidence #landmass #landsubsidence #global #globalsealevelrise #climatechange #city #urban #farmlands #population #demographics #cities #planning #community #elevation #monitoring #spatialanalysis #spatiotemporal #altimetry

  14. Sea Levels Rising Dramatically In Some Areas Due To Land Subsidence [global]
    --
    phys.org/news/2026-05-sea-area <-- shared technical article
    --
    doi.org/10.1038/s41467-026-722 <-- shared paper
    --
    [#VLM = vertical land motion; = absolute sea-level; = relative sea-level; = (global) Glacial Isostatic Adjustment; = Interferometric Synthetic Aperture Radar; = Global Navigation Satellite System (~GPS); = paper, doi.org/10.1038/s41561-023-013, interpolated VLM reconstruction based on the joint analysis of GNSS, tide gauges (TGs), and satellite altimetry]

  15. Das ist definitiv das erste Bild von mir mit einer #Kamera in der Hand.

    Vermutlich hat es meine älteste Schwester gemacht. Offenkundig auf 6x6-Fim und in Farbe. Was noch nicht so gängig war Ende der 60er Jahre. Ziemlich teuer auch.

    Die #35mm #SLR, die ich in der Hand habe, kam nicht aus unserer Familie. Sie gehörte sicher einer der Freundinnen meiner Schwestern.

    Das Foto von mir wurde sehr wahrscheinlich mit einer Franka Solida III gemacht. Den Karton davon gibt es noch; die Kamera nicht.

    #foto #6x6 #60erJahre #FrankaSolidaIII

  16. Das ist definitiv das erste Bild von mir mit einer #Kamera in der Hand.

    Vermutlich hat es meine älteste Schwester gemacht. Offenkundig auf 6x6-Fim und in Farbe. Was noch nicht so gängig war Ende der 60er Jahre. Ziemlich teuer auch.

    Die #35mm #SLR, die ich in der Hand habe, kam nicht aus unserer Familie. Sie gehörte sicher einer der Freundinnen meiner Schwestern.

    Das Foto von mir wurde sehr wahrscheinlich mit einer Franka Solida III gemacht. Den Karton davon gibt es noch; die Kamera nicht.

    #foto #6x6 #60erJahre #FrankaSolidaIII

  17. @neonsnake
    #Photography : are you old enough to remember #TLR s?
    But yes, street photographers have tended to use 35mm range finder cameras before the #SLR was common, and after.
    And plate cameras before that. Almost as conspicuous as a painter.

    If asked what they are doing, saying "Art" seems to still go down quite well, as well as being true.

    Round here people are slightly interested and moderately helpful. As one should be.
    In Yangon, in the happy gap, they were rather pleased. #people

  18. @neonsnake
    #Photography : are you old enough to remember #TLR s?
    But yes, street photographers have tended to use 35mm range finder cameras before the #SLR was common, and after.
    And plate cameras before that. Almost as conspicuous as a painter.

    If asked what they are doing, saying "Art" seems to still go down quite well, as well as being true.

    Round here people are slightly interested and moderately helpful. As one should be.
    In Yangon, in the happy gap, they were rather pleased. #people

  19. Sieht man in #Graz einen grünen 7cm breiten #Laserstrahl vom Observatorium #Lustbühel in den Himmel geschossen, kommt der entweder von dem dünnen weißen Rohr oben Mitte (mit gelb-schwarzem Aufkleber für Reflektoren auf #Satelliten) oder von einem der schwarzen Rohre links daneben (Weltraummüll, mit deutlich mehr Energie wegen der fehlenden Reflektoren).

    Die Wissenschaftlerinnen zielen auf #Satelliten oder #Weltraummüll und bestimmen deren Entfernung auf bis zu 3mm genau, indem sie einzelne(!) zurückkehrende Lichtteilchen (Photonen) mit dem dicken weißen Rohr detektieren und durch Statistik und Korrelation von anderen Lichtteilchen unterscheiden.

    #SLR nennt man das: Satellite #Laser Ranging. 🔭🛰️

    de.wikipedia.org/wiki/Satellit :graz

    #LangeNachtDerForschung #LNF26 #Graz

  20. Sieht man in #Graz einen grünen 7cm breiten #Laserstrahl vom Observatorium #Lustbühel in den Himmel geschossen, kommt der entweder von dem dünnen weißen Rohr oben Mitte (mit gelb-schwarzem Aufkleber für Reflektoren auf #Satelliten) oder von einem der schwarzen Rohre links daneben (Weltraummüll, mit deutlich mehr Energie wegen der fehlenden Reflektoren).

    Die Wissenschaftlerinnen zielen auf #Satelliten oder #Weltraummüll und bestimmen deren Entfernung auf bis zu 3mm genau, indem sie einzelne(!) zurückkehrende Lichtteilchen (Photonen) mit dem dicken weißen Rohr detektieren und durch Statistik und Korrelation von anderen Lichtteilchen unterscheiden.

    #SLR nennt man das: Satellite #Laser Ranging. 🔭🛰️

    de.wikipedia.org/wiki/Satellit :graz

    #LangeNachtDerForschung #LNF26 #Graz

  21. Sieht man in #Graz einen grünen 7cm breiten #Laserstrahl vom Observatorium #Lustbühel in den Himmel geschossen, kommt der entweder von dem dünnen weißen Rohr oben Mitte (mit gelb-schwarzem Aufkleber für Reflektoren auf #Satelliten) oder von einem der schwarzen Rohre links daneben (Weltraummüll, mit deutlich mehr Energie wegen der fehlenden Reflektoren).

    Die Wissenschaftlerinnen zielen auf #Satelliten oder #Weltraummüll und bestimmen deren Entfernung auf bis zu 3mm genau, indem sie einzelne(!) zurückkehrende Lichtteilchen (Photonen) mit dem dicken weißen Rohr detektieren und durch Statistik und Korrelation von anderen Lichtteilchen unterscheiden.

    #SLR nennt man das: Satellite #Laser Ranging. 🔭🛰️

    de.wikipedia.org/wiki/Satellit :graz

    #LangeNachtDerForschung #LNF26 #Graz

  22. Sieht man in #Graz einen grünen 7cm breiten #Laserstrahl vom Observatorium #Lustbühel in den Himmel geschossen, kommt der entweder von dem dünnen weißen Rohr oben Mitte (mit gelb-schwarzem Aufkleber für Reflektoren auf #Satelliten) oder von einem der schwarzen Rohre links daneben (Weltraummüll, mit deutlich mehr Energie wegen der fehlenden Reflektoren).

    Die Wissenschaftlerinnen zielen auf #Satelliten oder #Weltraummüll und bestimmen deren Entfernung auf bis zu 3mm genau, indem sie einzelne(!) zurückkehrende Lichtteilchen (Photonen) mit dem dicken weißen Rohr detektieren und durch Statistik und Korrelation von anderen Lichtteilchen unterscheiden.

    #SLR nennt man das: Satellite #Laser Ranging. 🔭🛰️

    de.wikipedia.org/wiki/Satellit :graz

    #LangeNachtDerForschung #LNF26 #Graz

  23. Sieht man in #Graz einen grünen 7cm breiten #Laserstrahl vom Observatorium #Lustbühel in den Himmel geschossen, kommt der entweder von dem dünnen weißen Rohr oben Mitte (mit gelb-schwarzem Aufkleber für Reflektoren auf #Satelliten) oder von einem der schwarzen Rohre links daneben (Weltraummüll, mit deutlich mehr Energie wegen der fehlenden Reflektoren).

    Die Wissenschaftlerinnen zielen auf #Satelliten oder #Weltraummüll und bestimmen deren Entfernung auf bis zu 3mm genau, indem sie einzelne(!) zurückkehrende Lichtteilchen (Photonen) mit dem dicken weißen Rohr detektieren und durch Statistik und Korrelation von anderen Lichtteilchen unterscheiden.

    #SLR nennt man das: Satellite #Laser Ranging. 🔭🛰️

    de.wikipedia.org/wiki/Satellit :graz

    #LangeNachtDerForschung #LNF26 #Graz

  24. Extreme Coastal Flood [and SLR] Maps For Aotearoa New Zealand
    --
    niwa.co.nz/hazards/coastal-haz <-- shared Earth Sciences New Zealand entry page
    --
    experience.arcgis.com/experien <-- NIWA sea level / coastal flooding web mapping tools
    --
    niwa.co.nz/hazards/riskscape-s <-- shared NZ RiskScape software entry page
    --niwa.co.nz/sites/default/files <-- shared 2023 #NIWA report, ‘Mapping New Zealand’s exposure to coastal flooding and sea-level rise’
    --
    niwa.co.nz/hazards/coastal-sto <-- shared NIWA Coastal storm inundation page
    --
    #GIS #spatial #mapping #NewZealand #spatialdata #opendata #water #hydrography #coast #coastal #flood #flooding #inundation #stormsurge #risk #hazard #forecasting #infrastructure #cost #damage #housing #climatechange #storm #extremeweather #tide #inundation #waves #sealevelrise #SLR #model #modeling #spatialanalysis #spatiotemporal #floodmap #remotesensing #LiDAR #SRTM #regional
    @earth Sciences New Zealand | National Institute of Water & Atmospheric Research (NIWA) | @Ministry for the Environment | Manatū mō te Taiao

  25. Extreme Coastal Flood [and SLR] Maps For Aotearoa New Zealand
    --
    niwa.co.nz/hazards/coastal-haz <-- shared Earth Sciences New Zealand entry page
    --
    experience.arcgis.com/experien <-- NIWA sea level / coastal flooding web mapping tools
    --
    niwa.co.nz/hazards/riskscape-s <-- shared NZ RiskScape software entry page
    --niwa.co.nz/sites/default/files <-- shared 2023 report, ‘Mapping New Zealand’s exposure to coastal flooding and sea-level rise’
    --
    niwa.co.nz/hazards/coastal-sto <-- shared NIWA Coastal storm inundation page
    --

    @earth Sciences New Zealand | National Institute of Water & Atmospheric Research (NIWA) | @Ministry for the Environment | Manatū mō te Taiao

  26. USGS CoNED (TopoBathy) WebMap Viewer & (Open) Data Downloader
    --
    topotools.cr.usgs.gov/topobath <-- shared Viewer webmap & download selector
    --
    usgs.gov/coastal-changes-and-i <-- shared USGS CoNED overview/entry page
    --
    [I used to shore dive in the Straits Of Juan de Fucca, Washington State side, and Crescent Lake - so I chose that area as a CoNED example to explore; good memories, including of the 18 Wheeler Burger with pie & coffee in Joyce, WA on drizzly days]
    ,
    @USGS