Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Eunjin Ha"'
Autor:
Erin Coughlan de Perez, Weston Anderson, Eunjin Han, Gibbon Innocent Tirivanhu Masukwedza, Ntlele Mphonyane
Publikováno v:
Climate Services, Vol 36, Iss , Pp 100514- (2024)
People have known that El Niño events are associated with low rainfall in Southern Africa for a century, and seasonal rainfall forecasts are now available in agricultural advisories for farmers. While there is abundant theory as to how farmers might
Externí odkaz:
https://doaj.org/article/0150f3b5816e465f9ef99fba5aab8f83
Publikováno v:
The Korean Journal of Healthcare-Associated Infection Control and Prevention. 25:46-53
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cc57ba70a108f4574de61c786e73274
https://doi.org/10.14192/kjicp.2020.25.1.46
https://doi.org/10.14192/kjicp.2020.25.1.46
Publikováno v:
Agrosystems, Geosciences & Environment, Vol 7, Iss 1, Pp n/a-n/a (2024)
Abstract Agriculture is weather dependent, and changes in climate can have a drastic impact on our ability to feed, fuel, and clothe the world's population. Climate change is causing more frequent and unprecedented extreme weather events that are alr
Externí odkaz:
https://doaj.org/article/1eaf47718d8b4c5482693972348a7083
Autor:
Je Eun Song, Eun Suk Park, Eunjin Ha, Yong Chan Kim, Hyun-Chul Kim, Dongeun Yong, Woo Yong Jeong, Nam Su Ku, In Young Jung, Kyungwon Lee, Jun Yong Choi, June Myung Kim, Eun Jin Kim, Dong Hyun Oh, Moo Hyun Kim, Su Jin Jeong, Young Soun Lim
Publikováno v:
Open Forum Infectious Diseases. 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::824ecc8a1598c265933b7d5cf001fb3a
https://doi.org/10.1093/ofid/ofw172.1098
https://doi.org/10.1093/ofid/ofw172.1098
Autor:
Eunjin Ha, Sunyoung Ahn, Kyungwon Lee, Jun Yong Choi, Younjee Hwang, Younghee Seo, Eun Suk Park, Sori Jong, Dongeun Yong, Myung Sook Kim, Hyun-Chul Kim, Ji Yeon Sung
Publikováno v:
Annals of Clinical Microbiology. 19:39
Department of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Department of Laboratory Medicine, National Police Hospital, Brain Korea 21 PLUS Project for Medical Science, Yonsei University,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa5a0bcec70603ea1c8c22b0b8793b95
https://doi.org/10.5145/acm.2016.19.2.39
https://doi.org/10.5145/acm.2016.19.2.39
Autor:
Simon J. Mason, Timothy J. Krupnik, James W. Hansen, Melody Braun, S. Ghulam Hussain, Md. Shah Kamal Khan, Abdu Mannan, Ashley Curtis, Eunjin Han, Andrew Kruczkiewicz
Publikováno v:
Climate Services, Vol 27, Iss , Pp 100306- (2022)
Considerable progress has been made in establishing climate service capabilities over the last few decades, but the gap between the resulting services and national needs remains large. Using climate services for agriculture in Bangladesh as a case st
Externí odkaz:
https://doaj.org/article/88e75c8ba4064abf819a70fd64c2df81
Publikováno v:
Atmosphere, Vol 13, Iss 12, p 2122 (2022)
Rainfed agriculture in Senegal is heavily affected by weather-related risks, particularly timing of start/end of the rainy season. For climate services in agriculture, the National Meteorological Agency (ANACIM) of Senegal has defined an onset of rai
Externí odkaz:
https://doaj.org/article/69196e7c5e7541febcfa390c9abfb78f
Publikováno v:
Atmosphere, Vol 14, Iss 1, p 40 (2022)
The rice–wheat rotation is the dominant cropping system in Bihar, where food security of the rural population depends heavily on the production of rice and wheat. In Bihar, farmers plant rice after the first significant rains, and climatic shocks i
Externí odkaz:
https://doaj.org/article/72462715cc8a4ae4a3ccc52ad81f4dad
Autor:
Eunjin Han, Amor V.M. Ines
Publikováno v:
Climate Risk Management, Vol 18, Iss C, Pp 51-65 (2017)
Seasonal climate forecasts (SCF) are produced operationally in tercile-probabilities of the most likely categories, e.g., below-, near- and above-normal rainfall. Inherently, these are difficult to translate into information useful for decision suppo
Externí odkaz:
https://doaj.org/article/a6b6ceb7192e4c8eb59587d0211c6ab1
Autor:
Konstantinos M Andreadis, Narendra Das, Dimitrios Stampoulis, Amor Ines, Joshua B Fisher, Stephanie Granger, Jessie Kawata, Eunjin Han, Ali Behrangi
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0176506 (2017)
The Regional Hydrologic Extremes Assessment System (RHEAS) is a prototype software framework for hydrologic modeling and data assimilation that automates the deployment of water resources nowcasting and forecasting applications. A spatially-enabled d
Externí odkaz:
https://doaj.org/article/827325764dcd4545a40a40bf415ac2e9