OceanRAIN, a new in-situ shipboard global ocean surface-reference dataset of all water cycle components.

OceanRAIN, a new in-situ shipboard global ocean surface-reference dataset of all water cycle components.

Klepp, Christian;Michel, Simon;Protat, Alain;Burdanowitz, Jörg;Albern, Nicole;Kähnert, Marvin;Dahl, Andrea;Louf, Valentin;Bakan, Stephan;Buehler, Stefan A;
scientific data 2018 Vol. 5 pp. 180122
296
klepp2018oceanrainscientific

Abstract

OceanRAIN-the Ocean Rainfall And Ice-phase precipitation measurement Network-provides in-situ along-track shipboard data of precipitation, evaporation and the resulting freshwater flux at 1-min resolution over the global oceans from June 2010 to April 2017. More than 6.83 million minutes with 75 parameters from 8 ships cover all routinely measured atmospheric and oceanographic state variables along with those required to derive the turbulent heat fluxes. The precipitation parameter is based on measurements of the optical disdrometer ODM470 specifically designed for all-weather shipboard operations. The rain, snow and mixed-phase precipitation occurrence, intensity and accumulation are derived from particle size distributions. Additionally, microphysical parameters and radar-related parameters are provided. Addressing the need for high-quality in-situ precipitation data over the global oceans, OceanRAIN-1.0 is the first comprehensive along-track in-situ water cycle surface reference dataset for satellite product validation and retrieval calibration of the GPM (Global Precipitation Measurement) era, to improve the representation of precipitation and air-sea interactions in re-analyses and models, and to improve understanding of water cycle processes over the global oceans.

Citation

ID: 75747
Ref Key: klepp2018oceanrainscientific
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
75747
Unique Identifier:
10.1038/sdata.2018.122
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet