#TBC
#methods_to_learn
#closure_techniques
#data_products

https://www.sciencedirect.com/science/article/pii/S0034425720305642

https://journals.ametsoc.org/view/journals/clim/33/5/jcli-d-19-0036.1.xml

https://journals.ametsoc.org/view/journals/hydr/21/5/jhm-d-19-0255.1.xml

https://hess.copernicus.org/articles/22/241/2018/

#data_products
#terrestrial_water_storage

Name: GRACE-REC

Spatial coverage: global

Spatial resolution: 0.5 degrees

Temporal coverage: MSWEP-based reconstruction 1979-2016, ERA5-based 1979-present, GSWP3-based 1901-2014

Temporal resolution: Monthly (100 ensemble members for each combination of the three meteorological datasets and two GRACE satellite mascons), daily (ensemble mean only)

Gap-free: Yes

Year of publication: 2019

Algorithm: (1) linear water storage model, driven by temperature and precipitation, calibrated against de-seasonalized, de-trendedd GRACE satellite data (2002-2017), (2) spatial autoregressive model was used to generate an ensemble of spatially autocorrelated residuals, to facilitate uncertainty propagation from grid-level to regional or global averages. This method to propagate uncertainty is noteworthy.

Pros: outperforms hydrological and land surface models when evaluated against de-seasonalized, de-trended GRACE terrestrial water data, sea-level budget, basin-scale water balance, and streamflow.

Cons: The trends in GRACE-REC is purely driven by precipitation changes, therefore missing a ton of relevant factors (evapotranspiration change, dams, human water withdrawal, ice melt...). The seasonality is constant and not particularly reliable, either.

https://essd.copernicus.org/articles/11/1153/2019/

#carbon_emissions
#data_products

Spatial coverage: Global

Spatial resolution: country x sector x fuel

Temporal coverage: 1750-most recent year

Temporal resolution: annual

Gap-free: Yes

Year of publication: continually updated

Algorithm: N/A (not examined)

http://www.globalchange.umd.edu/ceds/

#data_products
#evapotranspiration

Name: The Global LAnd Surface Satellite evapotranspiration product version 5.0 (GLASS ET)

Spatial coverage: Global

Spatial resolution: 1 km

Temporal coverage: 2001-2015

Temporal resolution: 8 day

Gap-free: Yes

Year of publication: 2022

Algorithm: machine learning, integrating five satellite-derived ET products

https://www.sciencedirect.com/science/article/pii/S0022169422005650