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 ## Code Release
 
-zenodo version: https://zenodo.org/records/6363140
+[zenodo version](https://zenodo.org/records/6363140)
 
 ## Short Summary
 Here we propose a novel multiscale DL scheme learning simultaneously from satellite and in situ data to predict 9 km daily soil moisture (5 cm depth). Based on spatial cross-validation over sites in the conterminous United States, the multiscale scheme obtained a median correlation of 0.901 and root-mean-square error of 0.034 m3/m3.