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Dataset List

7 datasets found. Full dataset descriptions and data access links are available by selecting the dataset title.
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Dataset Responsible parties Version/Date
MicroPulse Differential Absorption Lidar (MPD) data in NetCDF format collected during the Preparatory Rockies Experiment for the Campaign In the Pacific 2021 (Pre-CIP_2021), a preparatory project for the Prediction of Rainfall Extremes Campaign In the...
final 1.0
2021-11-17
MicroPulse Differential Absorption Lidar (MPD) data in NetCDF format which were collected during the Prediction of Rainfall Extremes Campaign In the Pacific (PRECIP). Three MPDs were deployed to Taiwan for this field project.
final 1.1
2023-06-01
S-Pol radar moments data collected during the Prediction of Rainfall Extremes Campaign In the Pacific (PRECIP) from 25 May 2015 to 11 August 2022. The data are available as 3-hourly tar files (~2-6 GB/file) in CfRadial format. The size of the whole...
final 1.0
2023-03-01
S-Pol radar time series data collected during the Prediction of Rainfall Extremes Campaign In the Pacific (PRECIP) from 25 May 2015 to 11 August 2022. The dataset contains the raw in-phase (I) and quadrature (Q) information archived as time series....
final 1.0
2023-03-01
JPEG images from four cameras mounted at the S-Pol radar site during the Prediction of Rainfall Extremes Campaign In the Pacific (PRECIP). The S-Pol cameras were located at the west coast of Taiwan and collected data from May 25 to August 11, 2022. The...
final 1.0
2023-03-09
Data from the Parsivel disdrometer that was deployed on Yonaguni (a Japanese island to the east of Taiwan) for the PRECIP (Prediction of Rainfall Extremes Campaign in the Pacific) campaign from June to August 2022. It was deployed near the CSU SEA-POL...
final 1.0
2023-07-13
Data from the Colorado State University (CSU) Sea-Going Polarimetric (SEA-POL) radar that was deployed on Yonaguni (a Japanese island to the east of Taiwan) for the PRECIP (Prediction of Rainfall Extremes Campaign in the Pacific) campaign from June to...
final 1.0
2023-05-16
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