Results 151 to 160 of about 26,673 (196)

How extreme rainfall and failing dams unleashed the Derna flood disaster. [PDF]

Nat Commun
Nemnem AM, Tanim AH, Nahian A, Khan S, Goharian E, Imran J.   +5 more
europepmc   +1 more source

Evaluation of GSMaP and MSWEP precipitation products for runoff simulation in the Lhasa River Basin. [PDF]

PLoS One
Wu L, Ren Y, Huang P, Yuan S, Zhou C, Gu Z, Guo Y, Zhou L.   +7 more
europepmc   +1 more source

Non-linear effects and lag patterns of eco-environmental factors on scrub typhus: a spatiotemporal analysis in Yunnan, China, 2015-2022. [PDF]

Parasit Vectors
Jing X, Ling Y, Jing R, Guo F, Yin F, Huang D, Zhang L, Yan X, Shui T.   +8 more
europepmc   +1 more source

Observational evidence of increased afternoon rainfall downwind of irrigated areas. [PDF]

Nat Commun
Greve P, Schmitt AU, Miralles DG, McDermid S, Findell KL, García-García A, Peng J.   +6 more
europepmc   +1 more source

Extreme rainfall over land exacerbated by marine heatwaves. [PDF]

Nat Commun
Wang H, Cai W, Zhang Z, Jing Z, Song F, Liu H.   +5 more
europepmc   +1 more source

Accurate and efficient AI-assisted paradigm for adding granularity to ERA5 precipitation reanalysis. [PDF]

Sci Rep
Cavaiola M, Tuju PE, Mazzino A.
europepmc   +1 more source

Temporary Shift from Net CO₂ Uptake to Net CO₂ Release During the Southwest Monsoon in a Tropical Mangrove Forest. [PDF]

Biology (Basel)
Aguilos M, Bacsal R, Aguilos R, Jondonero MAP, Valete MA, Seronay RA, Magoncia ER, Bacsal R, Luna D, Aguilos NZAM, Zuniga JB, Cabral D, Bacosa HP, Belgado ML, King JS.   +14 more
europepmc   +1 more source

FloodCastBench: A Large-Scale Dataset and Foundation Models for Flood Modeling and Forecasting. [PDF]

Sci Data
Xu Q, Shi Y, Zhao J, Zhu XX.
europepmc   +1 more source

Enhancing rainfall estimation accuracy with machine learning, cloud masking, and multi-source data: A case study of four coastal provinces in central Vietnam. [PDF]

PLoS One
Vu Duy D, Nguyen AH, Nguyen PT, Nguyen HT, Nguyen TTN.   +4 more
europepmc   +1 more source

An Explainable Machine Learning Framework for Predicting West Nile Virus and Uncovering Key Transmission Drivers. [PDF]

Geohealth
Sainidis D, Tsaprailis K, Kontoes C.
europepmc   +1 more source