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Permafrost - A Central Hub For Permafrost Information In Canada.
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geo.ca/communities/permafrost/
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“As #GeographyAwarenessWeek approaches, it's the perfect time to highlight Canada’s permafrost - a crucial component of our northern ecosystems that plays a key role in shaping both our environment and infrastructure.
[You are] invite[d] to discover GEO.ca’s new Permafrost Community space, a go-to resource for anyone interested in learning more about permafrost thawing and its impacts across Canada…”
#Permafrost #GeoDiscovery #ClimateChange #GIS #spatial #mapping #arctic #spatialanalysis #spatiotemporal #geography #canada #spatiotemporal #northern #ecosystems #infrastructure #change #damage #carbon #carbonstorage #environment #foodweb #melt #melting

Continued thread

[The parentheses are my edits / additions. When reviewing the study & the quotes by Dr. Brearley, the statement about #melting #icebergs not contributing to #SeaLevelRise appears to be specific only to icebergs that melt in a #TaylorColumn. The author of the article does not make that clear, which could lead to misunderstanding. The study was specific. Therefore #A23a’s melt will only NOT contribute to rising sea levels IF it STAYS within the vortex for the duration of its #melt.]

Continued thread

“It’s basically just sitting there, spinning around & it will very slowly #melt — as long as it stays there. What we don’t know is how quickly it will… come out of this,” said Alex Brearley, an #oceanographer & head of Open #Oceans research grp at the British #Antarctic Survey.

#Iceberg #A23a is caught in a #TaylorColumn, a current that forms around seamounts. Standard flow diverges around the mount & creates a stagnant cylinder of fluids above it, slowly rotating the water counterclockwise.

‘Unprecedented’ Flooding Hits Juneau, Alaska, After Glacier Outburst
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cnn.com/2024/08/07/climate/ala <-- shared media article
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“A rush of water unleashed by an ailing glacier swelled an Alaska river to record levels Tuesday and caused destructive flooding in Juneau nearly a year to the date of a similar significant event.
More than 100 homes have been damaged or impacted by the so-called glacial lake outburst flooding along the Mendenhall River in the Mendenhall Valley, according to city officials, who characterized the flood severity as “unprecedented.”
Glacial lake outbursts happen when a lake of melting snow and ice and rain “drains rapidly…”
#water #glacier #risk #hazard #flood #flooding #hydrology #climatechange #Alaska #Juneau #Alaska #USA #melt #meltwater #glacieroutburst #naturalhazard #infrastructure #management #glaciallake #MendenhallRiver #MendenhallGlacier #suicidebasin #damage #urbanplanning #warming #SuicideGlacier #GLOF

Proud to say that we have a paper out in #TC about the 2016 #Melt event over the Ros ice shelf #Antarctica we have evaluated how well models capture this extreme melt event.
Read it here doi.org/10.5194/tc-18-2897-202
#DMIdk @Ruth_Mottram

tc.copernicus.orgThe importance of cloud properties when assessing surface melting in an offline-coupled firn model over Ross Ice shelf, West AntarcticaAbstract. The Ross Ice Shelf, West Antarctica, experienced an extensive melt event in January 2016. We examine the representation of this event by the HIRHAM5 and MetUM high-resolution regional atmospheric models, as well as a sophisticated offline-coupled firn model forced with their outputs. The model results are compared with satellite-based estimates of melt days. The firn model estimates of the number of melt days are in good agreement with the observations over the eastern and central sectors of the ice shelf, while the HIRHAM5 and MetUM estimates based on their own surface schemes are considerably underestimated, possibly due to deficiencies in these schemes and an absence of spin-up. However, the firn model simulates sustained melting over the western sector of the ice shelf, in disagreement with the observations that show this region as being a melt-free area. This is attributed to deficiencies in the HIRHAM5 and MetUM output and particularly a likely overestimation of night-time net surface radiative flux. This occurs in response to an increase in night-time downwelling longwave flux from around 180–200 to 280 W m−2 over the course of a few days, leading to an excessive amount of energy at the surface available for melt. Satellite-based observations show that this change coincides with a transition from clear-sky to cloudy conditions, with clouds containing both liquid water and ice water. The models capture the initial clear-sky conditions but seemingly struggle to correctly represent cloud properties associated with the cloudy conditions, which we suggest is responsible for the radiative flux errors.

#Programming question:

How do you equip yourself with the right vocabulary so you can find the function you want?

Context:

Something I struggle with in #coding is not having the vocabulary to look up functions that do what I want.

A good example of this (in #python): I wanted to re-arrange data in a #pandas #DataFrame. I knew what the input looked like, and I knew what I wanted the output to look like, but I didn’t have the vocabulary to describe the transformation.

This meant I couldn’t easily find an appropriate function, without reading the entire documentation.

So I wrote the transformation in a round-about way, that was relatively convoluted.

Later, I stumbled across the term reshaping, and through that term, found the #melt function (part of the pandas package!), which exactly met my needs.

Images: #SpringEquinox March 20. This #winter was interesting- no early start to cold #snow, but once started not a lot of melting episodes. Some serious cold in December, then mostly hovering a little below/a little above average. Peak snow in March. #Spring #melt is well under way, but we've been mostly below avg, so melt has been moderate- less dramatic, fewer puddles as the water soaks in before it can really accumulate. Good for the driveway, fewer fun photos? #weather #Alberta #PhotoMontag

To start off the 1 paper per week challenge of this year, here is my #PaperOfTheWeek, or rather #PreprintOfTheWeek 😀

tc.copernicus.org/preprints/tc

They present and evaluate a new one-layer dynamical model to improve the fine-scale representation of #melt patterns under #Antarctic #IceShelves. Interesting to see how this can be applied to improve future #SeaLevel projections!
Quite technical but interesting for #ocean and #IceSheet #modelers!

tc.copernicus.orgTCD - Modeling Antarctic ice shelf basal melt patterns using the one-Layer Antarctic model for Dynamical Downscaling of Ice–ocean Exchanges (LADDIE)