Matches in SemOpenAlex for { <https://semopenalex.org/work/W4328117614> ?p ?o ?g. }
Showing items 1 to 59 of
59
with 100 items per page.
- W4328117614 abstract "<strong class=journal-contentHeaderColor>Abstract.</strong> A high-quality global precipitation product with finer spatiotemporal resolutions and long-term temporal coverage is critical for a variety of science communities (e.g., hydrology, meteorology, climatology, ecology, and agriculture). Here, a novel multi-source precipitation data fusion (MPDF) algorithm, which considers the dependency of precipitation errors on seasonality, was proposed to fully take advantage of the complementary strengths from satellite, reanalysis, and gauge data for generating a higher-quality global precipitation product. Two merging schemes, which used six products (including four satellite precipitation products: IMERG-Late, GSMaP-MVK, TMPA-RT, and PERSIANN-CCS; one reanalysis precipitation product ERA5; one ground-based precipitation product CPCU) and three products (i.e., IMERG-Late, ERA5, and CPCU) as input data sources of the MPDF algorithm respectively, were designed to generate two different high-quality multi-source merged global precipitation products (MGP), i.e., MGP-6P and MGP-3P. The results show that the proposed MPDF algorithm is effective in considering the advantages from satellite, reanalysis, and gauge data. Global comparisons indicate that the MGP suite products with regard to daily mean precipitation share a similar spatial pattern with other global precipitation products (i.e., MSWEP, IMERG-Final, GSMaP-Gauge, ERA5, and CPCU) in most overland regions globally; while large differences between these seven products occur in Australia, southeast China, Europe, near the equator of Africa and South America, and so on. Overall, MGP-3P substantially performs better than the other five research-quality products (i.e., MGP-6P, MSWEP, IMERG-Final, GSMaP-Gauge, and ERA5) in the ground validation on the Chinese mainland, with the highest POD, CC and lowest RMSE of 0.85, 0.71, and 1.21 mm, respectively, at a 3 hourly scale. Especially, the accuracy and detection capability of MGP-3P are the best in most hourly rainfall intensity groups. The MGP-3P product can provide a new precipitation data option for research and applications in the field of hydrology, meteorology, climatology, ecology, and agriculture. MGP-3P (also known as MGP) Version 1.1 is available at the following link: <a href=https://www.zenodo.org/record/7386441#.Y8zr4clBxD9 target=_blank rel=noopener>https://www.zenodo.org/record/7386441#.Y8zr4clBxD9</a> (Chen et al., 2022a)." @default.
- W4328117614 created "2023-03-22" @default.
- W4328117614 date "2023-03-21" @default.
- W4328117614 modified "2023-09-30" @default.
- W4328117614 title "Comment on essd-2023-42" @default.
- W4328117614 doi "https://doi.org/10.5194/essd-2023-42-rc2" @default.
- W4328117614 hasPublicationYear "2023" @default.
- W4328117614 type Work @default.
- W4328117614 citedByCount "0" @default.
- W4328117614 crossrefType "peer-review" @default.
- W4328117614 hasBestOaLocation W43281176141 @default.
- W4328117614 hasConcept C107054158 @default.
- W4328117614 hasConcept C122523270 @default.
- W4328117614 hasConcept C127313418 @default.
- W4328117614 hasConcept C127413603 @default.
- W4328117614 hasConcept C12980444 @default.
- W4328117614 hasConcept C13280743 @default.
- W4328117614 hasConcept C146978453 @default.
- W4328117614 hasConcept C153294291 @default.
- W4328117614 hasConcept C19269812 @default.
- W4328117614 hasConcept C205649164 @default.
- W4328117614 hasConcept C2524010 @default.
- W4328117614 hasConcept C29278236 @default.
- W4328117614 hasConcept C33923547 @default.
- W4328117614 hasConcept C39432304 @default.
- W4328117614 hasConcept C49204034 @default.
- W4328117614 hasConcept C90673727 @default.
- W4328117614 hasConceptScore W4328117614C107054158 @default.
- W4328117614 hasConceptScore W4328117614C122523270 @default.
- W4328117614 hasConceptScore W4328117614C127313418 @default.
- W4328117614 hasConceptScore W4328117614C127413603 @default.
- W4328117614 hasConceptScore W4328117614C12980444 @default.
- W4328117614 hasConceptScore W4328117614C13280743 @default.
- W4328117614 hasConceptScore W4328117614C146978453 @default.
- W4328117614 hasConceptScore W4328117614C153294291 @default.
- W4328117614 hasConceptScore W4328117614C19269812 @default.
- W4328117614 hasConceptScore W4328117614C205649164 @default.
- W4328117614 hasConceptScore W4328117614C2524010 @default.
- W4328117614 hasConceptScore W4328117614C29278236 @default.
- W4328117614 hasConceptScore W4328117614C33923547 @default.
- W4328117614 hasConceptScore W4328117614C39432304 @default.
- W4328117614 hasConceptScore W4328117614C49204034 @default.
- W4328117614 hasConceptScore W4328117614C90673727 @default.
- W4328117614 hasLocation W43281176141 @default.
- W4328117614 hasOpenAccess W4328117614 @default.
- W4328117614 hasPrimaryLocation W43281176141 @default.
- W4328117614 hasRelatedWork W2161549781 @default.
- W4328117614 hasRelatedWork W2899851166 @default.
- W4328117614 hasRelatedWork W2901544382 @default.
- W4328117614 hasRelatedWork W3136146687 @default.
- W4328117614 hasRelatedWork W3215949987 @default.
- W4328117614 hasRelatedWork W4200229308 @default.
- W4328117614 hasRelatedWork W4212819120 @default.
- W4328117614 hasRelatedWork W4282843417 @default.
- W4328117614 hasRelatedWork W4313255441 @default.
- W4328117614 hasRelatedWork W4382865425 @default.
- W4328117614 isParatext "false" @default.
- W4328117614 isRetracted "false" @default.
- W4328117614 workType "peer-review" @default.