Don't forget to send in your #AGU2022 abstracts! And if you are working on Water-Energy-Carbon Cycle interactions, I suggest this wonderful session:
https://t.co/qwbgg04yUJ
Looking for a postdoc to join @terrerlab_mit to quantify and monitor forest degradation in the Amazon with Planet 🛰️🌳 questions [email protected]
https://t.co/S6DeGzRoly
My final thesis chapter is now available (open access) in WRR on "Observed landscape responsiveness to climate forcing." This develops the understanding of mechanisms that lead to global land surfaces becoming hotspots for variability and change.1/n https://t.co/2qLSFLpmhF
@RARohde I'd think the classic scapegoat would be the unresolved spatial/temporal variability in cloud shading and precip-wetting (which are both much more important over land than ocean), which changes aggregated sensible heat fluxes.
Dataset update: our MT-DCA soil moisture and vegetation optical depth (related to vegetation water content) retrievals from the SMAP satellite now have a citable DOI. Netcdf files at 9km and 36km grids freely available here: https://t.co/JYBIkxZz01
@ZachWeiner I'd say that the impact on social structures is pretty different, but that there are some stark similarities for the built landscape. Something about the consolidation of power and motive for land-use decisions?
@a_feldman24@GreatSmokyNPS Looks like a beautiful spot!
Maybe moist air from a temperature inversion (warm and moist in the valley) getting re-mixed up into the cooler overlying layer (which is then above saturation)? I'm sure transpiration feeds the moist valley air.
@emilypont I'm not a GHG person. Are the radiative forcing capacities and the half-lives all you need to (pretty much) fully describe the time evolution of energy captured by a unit of either gas added to the atmosphere?
@GrmpyNaturalist Actually, noting your other suggestions, you can make it from @papercutsjp to @booksmithtweets by walking along the Muddy River / Emerald Necklace in less than an hour.
@Corey_Yanofsky Anything that you can represent as a transformation of some of your FP numbers ("my Gaussian random number is 5/7 + 1.5429^89.43^[-25*log(2)]").
@Corey_Yanofsky Cool point! You can't even do all of the rationals, can you? But I think you can sample from values other than the floating point numbers in your precision range. Like a rational representation of all FP numbers (eg pick 1/3) as long as you can do any downstream math on them.
Big news! I will be joining the Department of Earth System Science @uciess at @UCIrvine as an Assistant Professor in July 2022! Thanks to all who have supported me along the way!
7: Mom, I have one question before I go to bed.
How does your body make blood?
Me: (mouth agape)
7: Are you googling it?
Me: No sweet pea, my whole entire life has been in preparation for this very moment.