#mustreadlater Challenges and Future Directions in Quantifying Terrestrial Evapotranspiration - Yi - 2024 - Water Resources Research - Wiley Online Library https://t.co/Rap8VmX6T5
Happy to share our new @JGRBiogeo paper showing state data assimilation improves LAI, AGB, & carbon flux estimates in the arctic and boreal region, led by @HuoXueli and @DJPMoore, w/ @amfox37, @hamid_dashti2, @_charliedevine_, others. @NASA_ABoVE@UASNRE https://t.co/43RLms1MFV
#mustreadlater
Leveraging a novel hybrid ensemble and optimal interpolation approach for enhanced streamflow and flood prediction https://t.co/nRaTwEAzqa
I missed this somehow? #mustreadlater
Land Data Assimilation: Harmonizing Theory and Data in Land Surface Process Studies - Li - 2024 - Reviews of Geophysics - Wiley Online Library https://t.co/rF1nTrYekq
#mustreadlater
How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences - Jiang - 2024 - Earth's Future - Wiley Online Library https://t.co/pux3wiTGjH
Our recently published @igsoc paper features in Boulder's local newspaper today! Our study made the first field observations of #Antarctic ice-shelf fracture induced by the weight of a surface meltwater lake: https://t.co/d0I6NNxd0z
@CIRESnews@NSIDC@BAS_News @CUArtsSciences
#mustreadlater Assessment of short‐range forecast error atmosphere–ocean cross‐correlations from the Met Office coupled numerical weather prediction system - Wright - Quarterly Journal of the Royal Meteorological Society - Wiley Online Library https://t.co/PxOVXCCkFN
And a mini animation depicting how an ice shelf responds to the filling and draining of surface lakes: https://t.co/PkLw7EJxn3 (thank you for making this @Tenacious_She@CIRESnews!)
Published today in @igsoc, our new study that includes the first in-situ observations of Antarctic ice-shelf fracture due to surface meltwater lakes: https://t.co/eaXujeuK6L
#mustreadlater Evapotranspiration prediction for European forest sites does not improve with assimilation of in situ soil water content data https://t.co/eUL4v9YcEI
We set out to quantify sources of subseasonal predictability with @NCAR_Science@NCAR_CGD CESM2 prediction system and verify the commonly accepted hypothesis on sources of subseasonal predictability. However, things seem to be different in CESM2: https://t.co/qo054PPQKC