The CAMELS data set: catchment attributes and meteorology for large-sample studies

Nans Addor, Andrew J. Newman, Naoki Mizukami, +1

Hydrology and earth system sciences

HydrometeorologyMeteorologyCatchment AttributesEngineeringCamels Data Set +11

The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset

Camila Álvarez-Garretón, Pablo A. Mendoza, Juan Pablo Boisier, +9

Hydrology and earth system sciences

EngineeringGeomorphologyCamels-cl DatasetChile DatasetEarth Science +14

A Ranking of Hydrological Signatures Based on Their Predictability in Space

Nans Addor, Grey Nearing, Cristina Prieto, +3

Water Resources Research

Random Forest PredictionsEngineeringHydrogeophysicsForest HydrologyAbstract Hydrological Signatures +17

Winter melt trends portend widespread declines in snow water resources

K. N. Musselman, Nans Addor, J. A. Vano, +1

Nature Climate Change

HydrometeorologyClimatologyIce-water SystemSnow Water ResourcesEngineering +6

Legacy, Rather Than Adequacy, Drives the Selection of Hydrological Models

Nans Addor, Lieke Melsen

Water Resources Research

HydrometeorologyHydrological ScienceHydrological PredictionEngineeringHydroclimate Modeling +13

CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain

Gemma Coxon, Nans Addor, John P. Bloomfield, +8

Earth system science data

EngineeringGeomorphologyGreat BritainEarth ScienceHydrometeorological Time Series +14

Robust changes and sources of uncertainty in the projected hydrological regimes of Swiss catchments

Nans Addor, Nina Köplin, Matthias Huss, +2

Water Resources Research

Hydrological ScienceHydrological PredictionEngineeringEarth ScienceCatchment Scale +16

Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges

Nans Addor, Camila Álvarez-Garretón, Gemma Coxon, +2

Hydrological Sciences Journal

HydrogeologyAvailable Lsh DatasetsHydrological ScienceEngineeringData Science +12

CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil

Vinícius B. P. Chagas, Pedro Luiz Borges Chaffe, Nans Addor, +4

Earth system science data

HydrometeorologyClimatologyHydrological ScienceEngineeringHydrometeorological Time Series +13

Caravan - A global community dataset for large-sample hydrology

Frederik Kratzert, Grey Nearing, Nans Addor, +9

Scientific Data