Search Results - Dynamic meteorology.

A multi-model approach for analyzing water balance dynamics in Kathmandu Valley, Nepal by Thapa, B.R., Ishidaira, H., Pandey, Vishnu Prasad, Shakya, N.M.

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Global anthropogenic effects on meteorological—hydrological—soil moisture drought propagation: historical analysis and future projection by Wang, S., Huang, S., Wang, C., Zhang, X., Wu, J., Gulakhmadov, A., Niyogi, D., Chen, N.

“…Intensified anthropogenic activities in the 21st century have introduced profound and widespread impacts on drought dynamics and their propagation. However, the extent to which large-scale human-induced forces, such as greenhouse gas emissions (GHGs) and aerosols, influence the propagation of drought from meteorological to hydrological and soil moisture droughts at the global level remains insufficiently understood. …”
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Climate change impacts and public perceptions by Petraki, Marianna

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Integration of agronomic information, vegetation indices (VIs), and meteorological data for phenological monitoring and yield estimation of rice (Oryza sativa L.) by Fernandez Jibaja, Jorge Antonio, Atalaya Marin, Nilton, Álvarez Robledo, Yeltsin Abel, Taboada Mitma, Víctor Hugo, Cruz Luis, Juancarlos Alejandro, Tineo Flores, Daniel, Goñas Goñas, Malluri, Gómez Fernández, Darwin

“…This study proposes an integrated framework for monitoring the phenological development and estimating the yield of O. sativa by combining agronomic variables, vegetation indices (VIs), and meteorological data. Six rice varieties (Victoria, Esperanza, Bellavista, Puntilla, Capoteña, and Valor) were evaluated across six phenological stages using field data, 20 VIs and meteorological parameters. …”
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Crop evapotranspiration dynamics in the Ganges and Mekong deltas by Matheswaran, Karthikeyan, Puvanenthirarajah, Suvasthigha, Jampani, Mahesh, Sena, Dipaka Ranjan

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Shallow groundwater dynamics in the Pampas: Climate, landscape and crop choice effects by Mercau, Jorge Luis, Nosetto, Marcelo Daniel, Bert, Federico Esteban, Giménez, Raúl, Jobbagy Gampel, Esteban Gabriel

“…With the explored annual crop options, farmers in the Pampas could reduce spring flooding risk when sowing double crops but cannot have a substantial effect on the longer term dynamics of the water table.…”
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Modeling Spatial Soil Water Dynamics in a Tropical Floodplain, East Africa by Gabiri, G., Burghof, S., Diekkrüger, B., Leemhuis, C., Steinbach, S., Näschen, K.

“…The characterization of soil moisture dynamics and its influencing factors in agriculturally used wetlands pose a challenge in data-scarce regions such as East Africa. …”
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Deciphering the link between SIF, ANPP and RUE dynamics in perennial forage crop mixtures by Mattera, Juan, Romero, Juan Manuel, Irisarri, Jorge Gonzalo Nicolás, Grimoldi, Agustín Alberto, Cordon, Gabriela B.

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Dynamic risk model for Rift Valley fever outbreaks in Kenya based on climate and disease outbreak data by Gikungu, D., Neyole, E., Muita, R., Wakhungu, Judi W., Siamba, D., Bett, Bernard K.

“…Despite great strides towards better prediction of RVF epidemics, there is still no observed climate data-based warning system with sufficient lead time for appropriate response and mitigation. We present a dynamic risk model based on historical RVF outbreaks and observed meteorological data. …”
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Predicting turbidity dynamics in small reservoirs in Central Kenya using remote sensing and machine learning by Steinbach, S., Bartels, A., Rienow, A., Kuria, B. T., Zwart, Sander J., Nelson, A.

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Archetypal classification of vegetation dynamics of a humid subtropical forest region from North-East Argentina by Díaz Villa, M. Virginia E., Cristiano, Piedad M., Easdale, Marcos Horacio, Bruzzone, Octavio Augusto

“…Finally, a distributed-lag model with meteorological variables, was applied to these time series to relate the dynamics of the archetypes to the local climate. …”
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Inoculum and disease dynamics of citrus greasy spot caused by Zasmidium citri-griseum in sweet orange in Panama by Aguilera-Cogley, Vidal, Sedano, Maria E., Vicent, Antonio

“…The AASC or INC data were fitted to Bayesian models including meteorological variables and an autoregressive temporal component, the latter being the most influential. …”
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Tracking states and transitions in semiarid rangelands: A spatiotemporal archetypal analysis of productivity dynamics using wavelets by Bruzzone, Octavio Augusto, Hurtado, Santiago Ignacio, Perri, Daiana Vanesa, Maddio, Rafael Adrián, Sello, Mario Eugenio, Easdale, Marcos Horacio

“…Climate change poses challenges in classifying ecosystem dynamics, as they are influenced by shifting dynamics resulting from changes in climate forces and meteorological variables, including temperature and water availability. …”
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Incorporating dynamic crop area in hydrological model to address interannual variability in water withdrawal and implication of sustainable water management by Umer, M., Hanasaki, N., Gopalan, S. P., Ali, Zeshan, Oki, T.

“…This study investigates the impact of interannual variations in crop areas on agricultural water withdrawals within the Indus River Basin in Pakistan, by incorporating dynamic crop area based on hydro-meteorological factors in the H08 hydrological model. …”
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Geodatabase and atlas: Mangistau Region, Kazakhstan by Gafurov, Zafar, Eltazarov, Sarvarbek, Yegizbayeva, Asset, Djumaboev, Kakhramon, Zaitov, Sherzod, Kenjabaev, Shavkat

Subjects: “…population dynamics…”
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Geodatabase and atlas: Kyzylorda Region, Kazakhstan by Gafurov, Zafar, Eltazarov, Sarvarbek, Yegizbayeva, Asset, Djumaboev, Kakhramon, Zaitov, Sherzod, Kenjabaev, Shavkat

Subjects: “…population dynamics…”
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A description of recent drought prevalence in the Limpopo River Basin by Ghosh, Surajit, Vigneswaran, Kayathri, Dickens, Chris, Retief, H., Garcia Andarcia, Mariangel

“…This report provides an in-depth analysis of drought conditions in the Limpopo River Basin (LRB), with a focus on drought frequency, meteorological patterns, and agricultural impacts. Historical drought data and earth observation (EO) datasets are used to monitor and forecast drought severity. …”
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Assessment of soil salinity changes under the climate change in the Khorezm Region, Uzbekistan by Khamidov, M., Ishchanov, J., Hamidov, A., Donmez, C., Djumaboev, Kakhramon

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From ORYZA2000 to ORYZA (v3): An improved simulation model for rice in drought and nitrogen-deficient environments by Li, Tao, Angeles, Olivyn, Marcaida, Manuel, Manalo, Emmali, Manalili, Mervin Pogs, Radanielson, Ando, Mohanty, Samarendu

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Differential response of trees to temperature variation during the chilling and forcing phases by Luedeling, Eike, Guo L, Dai, J., Leslie C, Blanke, M.M.

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