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In his talk, Ben Davison (sorry, my Google stalking wasn't able to find your GitHub handle) presented time series of melt rates derived in various ways from satellite observations. He points out that the these products don't agree on the magnitude or timing of sub-decadal variability. I wanted to point out as well that ApRES (autonomous phase-sensitive radar) measurements of melt rates also typically show less temporal variability than any of the satellite-derived products. A postdoc, Irena Vankova, that I work with knows more by far about this than I do. @irenavankova, would you care to comment? To me, this suggests that we don't want to rely too heavily on the satellite-derived products to add temporal variability on timescales shorter than decadal to whatever freshwater anomaly protocol we might come up with. |
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In his talk, @therealpaulholland mentioned that most CMIP models will presently input any increase in precipitation over ice sheets immediately back into the ocean as a fw runoff, rather than first storing it as snow/ice for 100-1000s of years as they should. My question is how large is this spurious precipitation run off increase over the historical period, and how close is it to offsetting what we should be inputting from enhanced ice sheet melt? |
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Use this thread to ask questions about the observational talks in the first section.
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