Results 51 to 60 of about 1,024,956 (306)

Seasonal Precipitation Forecast Over Morocco [PDF]

Water Resources Research, 2018
Abstract Interannual variability of precipitation is a challenge for water management in semiarid Morocco, where droughts are common and take a heavy toll on agricultural production. The question of forecast potential for winter and spring rainfall is therefore crucial for the country. As an addition to dynamical seasonal predictions,
A. Tuel, E. A. B. Eltahir
openaire   +4 more sources

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

Advanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais, S. Peng, J. Chang, F. Li, Q. Zhu, K. Yuan, G. Hugelius, H. Li, Y. Cai, F. Chevallier, K. Tibrewal, E. A. Kort, K. Arndt, J. Watts, B. Buma, N. Besic, P. I. Palmer, H. Cadillo‐Quiroz, E. Euskirchen, M. J. Gondwe, A. Hoyt, R. Jackson, S. Malone, D. Monteverde, S. Natali, M. Ramonet, C. Rey‐Sanchez, L. B. Sagang, E. A. G. Schuur, R. Vargas, R. Varner, Z. Zhang, B. Poulter   +32 more
wiley   +1 more source

Low Latency Global Carbon Budget Reveals Late 2024 Carbon Losses and Contrasting Early 2025 Land Sink Recovery Signals

Advanced Science, EarlyView.
Low latency carbon budget estimates for July 2024–June 2025 combine atmospheric CO2 growth rates, fossil emissions, ocean uptake, DGVM land fluxes, and OCO‐2 inversions. The budget shows that late‐2024 land carbon losses dominate the annual anomaly, while early‐2025 recovery differs between bottom‐up models and top‐down inversions, especially in ...
Piyu Ke, Philippe Ciais, Yitong Yao, Stephen Sitch, Wei Li, Xiaomeng Du, Xiaofan Gui, Ben Poulter, Thomas Colligan, Auke M. van der Woude, Joram Hooghiem, Wouter Peters, Zhu Liu, Zhu Deng, Zhe Jin, Xiangjun Tian, Yilong Wang, Junjie Liu, Sudhanshu Pandey, Chris O'Dell, Jiang Bian, John Miller, Xin Lan, Jefferson Goncalves De Souza, Michael O'Sullivan, Pierre Friedlingstein, Julien Alléon, Yi Xi, Daniel S. Goll, Lei Zhu, Guido R. van der Werf, Shilong Piao, Frédéric Chevallier   +32 more
wiley   +1 more source

Short-term forecasting of the main indicators of the COVID-19 epidemic in Ukraine based on the seasonal cycle model

Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï
The authors of this study propose a method of short-term forecasting of time series of the main indicators of the COVID-19 epidemic, which has a pronounced seasonality.
Alexei Alyokhin, Anna Brutman, Alexandr Grabovoy, Tetiana Shabelnyk   +3 more
doaj   +1 more source

Probabilistic skill in ensemble seasonal forecasts [PDF]

Quarterly Journal of the Royal Meteorological Society, 2014
Simulation models are widely employed to make probability forecasts of future conditions on seasonal to annual lead times. Added value in such forecasts is reflected in the information they add, either to purely empirical statistical models or to simpler simulation models.
Leonard A. Smith, Hailiang Du, Emma B. Suckling, Falk Niehörster   +3 more
openaire   +4 more sources

Synergistic Effects in Multistate Black Electro‐Thermochromic Smart Windows for Energy‐Efficient Modulation of Solar Heating

Advanced Science, EarlyView.
Hybrid electro‐thermochromic smart windows are developed for dynamic climate control by integrating a redox‐matched black electrochromic gel with a paraffin‐based thermochromic film. This synergistic combination enables multimodal solar modulation, where photothermal heating from the electrochromic layer triggers thermochromic activation at lower ...
Xilu Wu, Lorenzo Vallan, Hao Li, Jaume Ramon Otaegui, Silvia Mena, Weizhong Jiang, Hongzhi Wang, Jonathan C. Barnes, Daniel Ruiz‐Molina, Kerui Li, Jordi Hernando, Claudio Roscini, Gonzalo Guirado   +12 more
wiley   +1 more source

Practical application of real-time sub-seasonal monsoon onset forecasting and monitoring for decision-making

Frontiers in Climate
Skilful monsoon onset forecasts are highly sought after in West Africa, due to the importance of monsoon onset for supporting agriculture, disease prevalence and energy provision.
Elisabeth M. Thompson, Elisabeth M. Thompson, Elisabeth M. Thompson, Caroline M. Wainwright, Caroline M. Wainwright, Caroline M. Wainwright, Linda C. Hirons, Linda C. Hirons, Steven J. Woolnough, Steven J. Woolnough   +9 more
doaj   +1 more source

Towards seasonal forecasting of malaria in India [PDF]

Malaria Journal, 2014
Malaria presents public health challenge despite extensive intervention campaigns. A 30-year hindcast of the climatic suitability for malaria transmission in India is presented, using meteorological variables from a state of the art seasonal forecast model to drive a process-based, dynamic disease model.
Caminade, Cyril, Heath, Andrew E., Jones, Anne E., MacLeod, David A., Gouda, Krushna C., Murty, Upadhyayula Suryanarayana, Goswami, Prashant, Mutheneni, Srinivasa R., Morse, Andrew P., Murty, Upadhyayula Suryanarayana, Lauderdale, Jonathan   +10 more
openaire   +4 more sources

Spontaneous Cyclic Levitation of Glycerol‐Water Droplets at Low Pressures

Advanced Science, EarlyView.
Under low pressure, a minute glycerol addition transforms the chaotic dynamics of freezing water droplets into cyclic levitation. Freeze‐concentration preserves liquid pathways that relax expansion‐induced stress, while freezing point depression weakens asymmetric vaporization recoil.
Chen Xu, Renjie Hua, Wei Ma, Fuqiang Chu, Dong Liang, Xueshi Li, Qirui Zhang, Yuan Dong, Xuehu Ma, Xiao Yan, Shuhuai Yao   +10 more
wiley   +1 more source

Sub-seasonal soil moisture anomaly forecasting using combinations of deep learning, based on the reanalysis soil moisture records

Agricultural Water Management
Sub-seasonal drought forecasting is crucial for early warning in estimating agricultural production and optimizing irrigation management, as forecasting skills are relatively weak during this period.
Xiaoyi Wang, Gerald Corzo, Haishen Lü, Shiliang Zhou, Kangmin Mao, Yonghua Zhu, Santiago Duarte, Mingwen Liu, Jianbin Su   +8 more
doaj   +1 more source