The Global WaterPack is a dataset containing information about open surface water cover parameters on a global scale. The water detection is derived from daily, operational MODIS datasets for every year since 2003. The negative effects of polar darkness and cloud coverage are compensated by applying interpolation processing steps. Thereby, a unique global dataset can be provided that is characterized by its high temporal resolution of one day and a spatial resolution of 250 meter. This collection includes yearly composites of the dataset with information on how often a pixel was detected as open surface water with pixel values between 0 and 365 (366 for leap years). Furthermore, a reliability layer provides information on the quality of each Global WaterPack pixel.

The Global WaterPack is a dataset containing information about open surface water cover parameters on a global scale. The water detection is derived from daily, operational MODIS datasets for every year since 2003. The negative effects of polar darkness and cloud coverage are compensated by applying interpolation processing steps. Thereby, a unique global dataset can be provided that is characterized by its high temporal resolution of one day and a spatial resolution of 250 meter. This collection includes monthly composites of the dataset with information on how often a pixel was detected as open surface water with pixel values between 0 and 31. Furthermore, a reliability layer provides information on the quality of each Global WaterPack pixel.

The Global WaterPack is a dataset containing information about open surface water cover parameters on a global scale. The water detection is derived from daily, operational MODIS datasets for every year since 2003. The negative effects of polar darkness and cloud coverage are compensated by applying interpolation processing steps. Thereby, a unique global dataset can be provided that is characterized by its high temporal resolution of one day and a spatial resolution of 250 meter. The daily binary layers in this collection contain information whether a pixel was detected as open surface water (1) or not (0). Furthermore, reliability and observation layers provide additional information on the quality of each Global WaterPack pixel.

This dataset includes corrections for GRACE, removing the leakage effect from 283 of the major global lakes and reservoirs (removal approach) for 2003 - 2016 and optionally relocating the leaked mass to its origin within the outline of the lakes/reservoirs. The correction is computed from forward-modelling surface water volume estimates derived from satellite altimetry (DAHITI, Schwatke et al., 2015) and remote sensing (Global WaterPack, Klein et al., 2017). A DDK3-filter (Kusche, 2007) has been applied.