Description
The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) LPVEx dataset was collected during the Light Precipitation Evaluation Experiment (LPVEx), which took place in September and October 2010 in the Gulf of Finland. The experiment aimed to characterize the ability of CloudSat, the Global Precipitation Mission (GPM) Dual-frequency Precipitation Radar (DPR), and existing/planned passive microwave (PMW) sensors, such as the GPM microwave imager (GMI), to detect light rain and evaluate their estimates of rainfall intensity in high latitude, shallow freezing level environments.The experiment leveraged in situ microphysical property measurements, coordinated remote sensing observations, and cloud resolving model simulations of high latitude precipitation systems to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms. The campaign will use these measurements to better understand the process of light rainfall formation at high latitudes and augment the currently limited database of light rainfall microphysical properties that form the critical assumptions at the root of satellite retrieval algorithm.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| View information related to this dataset | HTML | LPVEx Field Campaign Collection DOI | Open resource |
| View documentation related to this dataset | HTML | The guide document contains detailed information about the dataset | Open resource |
| View documentation related to this dataset | HTML | Instructions for citing GHRC data | Open resource |
| The dataset's project home page | HTML | The home page for the project or program which sponsored the dataset | Open resource |
| View a micro article on this dataset | HTML | Instrument: 2DVD Disdrometer Micro Article | Open resource |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |
| Download this dataset | HTML | Files may be downloaded directly to your workstation from this link | Open resource |