Search Results - "meteorology"

Scaling climate services to enable effective adaptation action by Hansen, James, Furlow, John, Goddard, Lisa, Nissan, Hannah, Vaughan, Catherine, Rose, Alison, Fiondella, Francesco, Braun, Mélody, Steynor, Anna, Jack, Christoper, Chinowsky, Paul, Thomson, Madeleine C., Baethgen, Walter E., Dinku, Tufa, Senato, Asrat Yirgu, Do, Minh Phuong, Huq, Saleemul, Ndiaye, Ousmane

“…A well-functioning climate service can help decision-makers understand, anticipate, and manage climate-related risks across the range of relevant time scales, from days to decades, much in the way a national meteorological service (NMS) does for weather. Yet, in most of the world, climate services are not sufficiently developed, nor are they properly aligned with the needs of decision-makers in the sectors and systems that are most at risk. …”
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Cuantificación de la huella hídrica del cultivo de arroz en dos zonas productoras de Perú. Arroz de riego en Perú competitivo e eficiente en el uso de agua mediante agricultura cli... by Sierra, Leidi, Romero Sánchez, Miguel Antonio

“…Weather data were taken through meteorological stations established in situ. The soil texture was measured at the field and then was used as input to obtain soil hydraulic characteristics. …”
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Will dairy cattle production in West Africa be challenged by heat stress in the future? by Rahimi, J., Mutua, John Y., Notenbaert, An Maria Omer, Dieng, D., Butterbach-Bahl, Klaus

“…After testing the accuracy of the dynamically downscaled climate datasets for simulating the historical daily maximum temperature (Tmax) and relative humidity (RH) in West Africa for 50 meteorological stations, we used the dataset for calculating the temperature-humidity index (THI), i.e., an index indicating heat stress for dairy cattle on a daily scale. …”
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How climate change and land use/land cover change affect domestic water vulnerability in Yangambi Watersheds (D. R. Congo) by Chishugi, D.U., Sonwa, D.J., Kahindo, J.-M., Itunda, D., Chishugi, J.B., Felix, F.L., Sahani, M.

“…We also analyzed data from surveys and the Yangambi meteorological station. We found that some landscape indices related to LULC significantly influence water quality deterioration in Yangambi. …”
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Analysis of rainfall variability and trends for better climate risk management in the major agro-ecological zones in Tanzania by Joseph, Jacob Emanuel, Rao, Karuturi P.C., Swai, Elirehema, Ngwira, Amos R., Rötter, Reimund P., Whitbread, Anthony M.

“…We assessed the forecast skills of seasonal rainfall forecasts issued by the Tanzania Meteorological Authority (TMA) and IGAD (Intergovernmental Authority on Development) Climate Prediction and Application Center (ICPAC). …”
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Training workshops on Participatory Integrated Climate Services for Agriculture (PICSA) by Dembélé, Catherine, Bazie, Paulin

“…This involves using participatory planning tools to help farmers making adequate decisions based on precise climate and meteorological information specific to their localities and options for agriculture, livestock/ fishery production and other locally relevant livelihood options. …”
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Viewpoint: irrigation water management in a space age by Hafeez, Mohsin, Awan, Usman Khalid

“…In the twenty-first century, considerable advances have been made in using satellite imagery, including processing and geospatial algorithms, to estimate hydro-meteorological fluxes and relevant components at different spatial scales. …”
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Climate-related hazards and Indian food supply: Assessing the risk using recent historical data by Harris, F., Amarnath, Giriraj, Joy, E. J. M., Dangour, Alan D., Green, R. F.

“…Historical (2000–2020) climatological and geological data sourced from meteorological stations and satellite imagery were used to estimate the state-level presence of eight climate-related hazards (droughts, forest fires, floods, extreme rainfall, landslides, cyclones, extreme temperatures, sea level rise). …”
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Impact of climate adaptation strategies on the net farm revenue of underutilised indigenous vegetables’ (UIVs) production in Southwest Nigeria by Tanimonure, V.A., Naziri, D.

“…Both quantitative and qualitative primary household data from 191 UIVs producers, with secondary climate data from Nigeria Meteorological agency were used. An efficient endogenous switching regression model (ESRM) was used to estimate the effect of climate change adaptation strategy on UIVs net revenue. …”
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Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms by Tramontana, Gianluca, Jung, Martin, Schwalm, Christopher R., Ichii, Kazuhito, Camps-Valls, Gustau, Ráduly, Botond, Reichstein, Markus, Arain, M. Altaf, Cescatti, Alessandro, Kiely, Gerard, Merbold, Lutz, Serrano-Ortiz, Penelope, Sickert, Sven, Wolf, Sebastian, Papale, Dario

“…We applied two complementary setups: (1) 8-day average fluxes based on remotely sensed data and (2) daily mean fluxes based on meteorological data and a mean seasonal cycle of remotely sensed variables. …”
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Mapping the risk of Rift Valley fever in Uganda using national seroprevalence data from cattle, sheep and goats by Tumusiime, Dan, Isingoma, E., Tashoroora, O.B., Ndumu, D.B., Bahati, M., Nantima, N., Mugizi, Denis, Jost, C., Bett, Bernard K.

“…Variables considered included animal level factors (age, sex, species) and multiple environmental data including meteorological factors, soil types, and altitude. A risk map was produced by projecting fitted (mean) values, from a final model that had environmental factors onto a spatial grid that covered the entire domain. …”
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Using zero tillage to ameliorate yield losses from weather shocks: Evidence from panel data in Haryana, India by Khan, Md. Tajuddin, Kishore, Avinash, Pandey, Divya, Joshi, Pramod Kumar

“…Climate models suggest that the incidence of short-duration acute hydro meteorological events is likely to increase in years to come. …”
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Climate change adaptation strategies among smallholder farmers in Senegal’s semi-arid zone: role of socio-economic factors and institutional supports by Zagre, Inoussa, Akinseye, Folorunso M., Worou, Nadine, Kone, Mama, Faye, Aliou

“…It captures community perceptions of climate change, compares them to long-term meteorological data, and identifies site-specific response strategies. …”
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Potential of residual soil moisture for supporting post-season legume cropping systems by Tesfaye, Getachew, Abera, Wuletawu, Kihara, Job

“…Crop water requirements were estimated as crop evapotranspiration (ETc) using the FAO-56 Penman–Monteith formulation driven by ERA5-Land meteorological data, combined with growing stage-specific crop coefficients. …”
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Spatial and temporal pattern of Rift Valley fever outbreaks in Tanzania; 1930 to 2007 by Sindato, C., Karimuribo, E.D., Pfeiffer, Dirk U., Mboera, L.E.G., Kivaria, F., Dautu, G., Bett, Bernard K., Paweska, J.T.

“…The data were sourced from the Ministries responsible for livestock and human health, Tanzania Meteorological Agency and research institutions involved in RVF surveillance and diagnosis. …”
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Climatic trends, risk perceptions and coping strategies of smallholder farmers in rural Uganda by Mubiru, DN, Kyazze, Florence Birungi, Radeny, Maren A.O., Zziwa, A., Lwasa, J., Kinyangi, James

“…Farmers’ perception of changing rainfall characteristics and increasing temperatures were consistent with the observed historical climatic trends from meteorological data.…”
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Simple power-law models to predict flow metrics for water resource and risk management along the Mekong tributaries. [Abstract only] by Lacombe, Guillaume, Douangsavanh, Somphasith, Vogel, R., McCartney, Matthew P., Chemin, Yann H., Rebelo, Lisa-Maria, Sotoukee, Touleelor

“…The most integrated and informative way to characterize flow, at a specific location on a river, is to compute a flow duration curve which provides the percentage of time (duration) any particular flow is exceeded over a historical period. Using hydro-meteorological records from more than 60 gauged catchments in the Lower Mekong Basin, and a 90-meter digital elevation model, we used multiple linear regressions to develop power-law models predicting flow duration curves. …”
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Multivariate time series modeling of short-term system scale irrigation demand by Teluguntla, P., Ryu, D., George, B.A., Malano, H.M.M., Walker, J.P.

“…5 days ahead daily IDCGi, ASP and IDCGi, OTR using the real time flow data recorded at the service points and the uppermost regulators and observed meteorological data collected from automatic weather stations. …”
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Spatio-temporal distribution of actual evapotranspiration in the Indus basin irrigation system by Liaqat, U.W., Choi, M., Awan, Usman K.

“…Ground-based ETa was calculated by the advection-aridity method, from nine meteorological sites, and used to evaluate the intra-annual seasonality in the hydrological year 2009?…”
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Rapid emergency response mapping for the 2016 floods in Kelani river basin, Sri Lanka by Alahacoon, Niranga, Pani, Peejush, Matheswaran, Karthikeyan, Samansiri, Srimal, Amarnath, Giriraj

“…In recent years, due to an increasing number in the frequency and intensity of extreme meteorological events potentially related to climate change, a growing attention has been paid to the operational use of satellite remote sensing applied to emergency response and relief measures. …”
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