Resultados de búsqueda - Dynamic meteorology.

Diffusion of LTACs output to Innovahub actors por Martínez, Jesús David, Borrayo, Andrea, García Santiago, Jorge O., Loon, Jelle van

“…In Guatemala, following this dialogue, the agroclimatic bulletin is produced that comprises the weather forecast provided by the National Institute of Seismology, Volcanology, Meteorology, Meteorology and Hydrology. This report not only details the weather forecast, but also its possible influence on crops under specific weather and site conditions. …”
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Agronomic monsoon onset definitions to support planting decisions for rainfed rice in Bangladesh por Eunjin Han, Montes, Carlo, Hussain, Sk. Ghulam, Krupnik, Timothy J.

“…We analyzed historical daily rainfall from four locations across a north-south gradient in Bangladesh and defined dynamic definitions of monsoon onset based on a set of local parameters. …”
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The key physical parameters governing frictional dissipation in a precipitating atmosphere por Makarieva, A.M., Gorshkov, V.G, Nefiodov, A.V, Sheil, D., Nobre, A.D, Bunyard, P, Li, B.L.

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Leaf wetness duration in irrigated citrus orchards in the Mediterranean climate conditions por Bassimba, Daniel, Intrigliolo, Diego S., Dalla Marta, Anna, Orlandini, Simone, Vicent, Antonio

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Improved seasonal prediction of rainfall over East Africa for application in agriculture: Statistical downscaling of CFSv2 and GFDL-FLOR por Kipkogei, O, Mwanthi, AM, Mwesigwa, JB, Atheru, ZKK, Wanzala, MA, Artan, G

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Evaluation and improvement of the E3SM land model for simulating energy and carbon fluxes in an Amazonian peatland por Yuan, F., Ricciuto, D.M., Xu, X., Roman, D.T., Lilleskov, E., Wood, J.D., Cadillo-Quiroz, Hinsby, Lafuente, A., Rengifo, J., Kolka, R., Fachin, L., Wayson, C., Hergoualc'h, Kristell, Chimner, R.A., Frie, A., Griffis, T.J.

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Unlock genotype-environment-management interaction via field phenotypic insights for multi-scale prediction of winter rapeseed flowering in the Yangtze River Basin por Wang, Chufeng, Zhang, Jian, Kuai, Jie, Wu, Wei, Hua, Shuijin, Yan, Mingli, Du, Hai, Ma, Ni, You, Liangzhi

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Strengthening climate services for the food security sector por Hansen, James, Fara, Katiuscia, Milliken, Kathryn, Boyce, Clement, Chang’a, Ladislaus, Allis, Erica

“…The development of such climate services alters the dynamic between the “user” and the “provider,” valuing each actor's knowledge and engaging them both in a co-production process. …”
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Strengthening Regional Capacity on NextGen climate forecasting in West Africa and the Sahel por Segnon, Alcade C., Obossou, Esdras, Houngnibo, Mandela C. M., Minoungou, Bernard, Ali, Abdou, Zougmoré, Robert B.

“…The NextGen seasonal forecasting system provides a systematic approach for generating unbiased, objective, and reproducible forecasts using the latest dynamic models. Recent advances and updates in the Python interface for the Climate Predictability Tool (PyCPT version 2.5), including intra- and sub-seasonal forecasting required additional training to National Meteorological and Hydrological Services (NMHSs). …”
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Python Climate Predictability Tool (PyCPT) training for improved seasonal climate prediction over Ethiopia por Ahmed, Jemal Seid, Teshome, Asaminew, Demissie, Teferi Dejene

“…Training on weather forecasting tools and techniques is a fundamental requirement for meteorological services to improve the accuracy and reliability of weather and climate forecasts. …”
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Ground-based climate data show evidence of warming and intensification of the seasonal rainfall cycle during the 1960–2020 period in Yangambi, central Congo Basin por Kasongo Yakusu, E., Acker, J. van, Van de Vyver, H., Bourland, N., Mbifo Ndiapo, J., Besango Likwela, T., Lokonda Wa Kipifo, M., Mbuya Kankolongo, A., Bulcke, J. van den, Beeckman, H., Bauters, M., Boeckx, P., Verbeeck, H., Jacobsen, K., Demarée, G., Gellens-Meulenberghs, F., Hubau, W.

“…Meteorological stations are rare in central Africa, which leads to uncertainty in regional climatic trends. …”
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Official launch of the AWARE platform for strengthening anticipatory action in Sri Lanka por Alahacoon, Niranga, Amarnath, Giriraj, Dickowita, Ranoja

“…Participants received an in-depth introduction and live demonstration showcasing AWARE’s dynamic dashboards, automated anticipatory action thresholds, rapid flood mapping using Sentinel-1 data, and customizable triggers down to the Division level. …”
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Hydrologic assessment of check dam performances in semi-arid areas: a case study from Gujarat, India por Mozzi, G., Pavelic, Paul, Alam, Mohammad Faiz, Stefan, C., Villholth, Karen G.

“…To aid in the improvement of check dam design parameters and location siting, we develop a dynamic tool, which integrates the daily water balance of a check dam with analytical infiltration equations to assess check dam performance measured as temporal dynamics of storage, infiltration, and evaporation. …”
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Water Impact Calculator: A decision support tool for irrigation scheduling por Garg, Kaushal K.

“…The tool then incorporates rainfall and meteorological data to estimate potential evapotranspiration and crop water demand accurately. …”
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How climate change affects extremes in maize and wheat yield in two cropping regions por Ummenhofer, Caroline C., Xu, Hong, Twine, Tracy E, Girvetz, Evan Hartunian, McCarthy, Heather R, Chhetri, Netra, Nicholas, Kimberly A.

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Implications of changes in water stress and precipitation extremes for cocoa production in Côte D’Ivoire and Ghana por Obahoundje, Salomon, Akpoti, Komlavi, Zwart, Sander J., Tilahun, Seifu A., Cofie, Olufunke O.

“…This study evaluated water stress, meteorological and agricultural drought conditions, and critical extreme precipitation indices in the world's two largest cocoa-producing nations from 1981 to 2022. …”
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Integrating climate intelligence into digital agroadvisory systems: A scalable multi model framework for AgWise Engine por Tibebe, Degefie, Seid, Jemal, Abera, Wuletawu, Saito, Kazuki, Mkuhlani, Siyabusa, Leroux, Louise, Mabilangan, Abigail, Ghosh, Aniruddha, Kihara, Job

“…This gap exists because valuable climate forecast data, often produced by sophisticated meteorological agencies, fails to translate effectively into timely, location-specific, and actionable farm-level management decisions (Seid et al., 2020). …”
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Mitigating the effects of hydrologic variability in Ethiopia: an assessment of investments in agricultural and transportation infrastructure, energy and hydroclimatic forecasting por Block, Paul J.

“…The areas of focus include increased infrastructure for agricultural irrigation and roads, large-scale hydropower generation, and a precipitation forecast model. A dynamic climate agro-economic model of Ethiopia is utilized to assess irrigation and road construction investment strategies in comparison to a baseline scenario over a 12-year time horizon. …”
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Network of networks: Time series clustering of ameriflux sites por Reed, David E., Chu, Housen, Peter, Brad G., Chen, Jiquan, Abraha, Michael, Amiro, Brian, Anderson, Ray G., Arain, M. Altaf, Arruda, Paulo, Barron-Gafford, Greg A., Bernacchi, Carl, Beverly, Daniel P., Biraud, Sebastien C., Black, T. Andrew, Blanken, Peter D., Bohrer, Gil, Bowler, Rebecca, Bowling, David R., Forsythe, Brandon R., Posse Beaulieu, Gabriela, Zona, Donatella

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Dinámica de inundaciones del río Colorado e impacto en Turrialba, Costa Rica por Aparicio Meza, María J

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