Results 61 to 70 of about 69,867 (301)

Modeling the environmental controls on tree water use at different temporal scales [PDF]

, 2016
Acknowledgements This study is part of the first author’s PhD projects in 2010–2014, co-funded by the National Centre for Groundwater Research and Training in Australia and the China Scholarship Council.
Guan, Huade, Simmons, Craig T, Wang, Hailong   +2 more
core   +1 more source

Sequencing Finance for Climate Resilience: Instruments, Institutions and Hong Kong's Role in Mobilising Private Capital in Southeast Asia

Business Strategy and the Environment, EarlyView.
ABSTRACT This paper investigates innovative financing strategies to mobilise private capital for climate adaptation, emphasising Hong Kong's role in advancing efforts across Southeast Asia. Using expert interviews and case studies, it addresses two key questions: which financial instruments can strengthen public–private collaboration, and what best ...
Laurence L. Delina, Madeleine Rachel Widia, Olivia Felice Janice Boedijanto, Sharon Feliza Ann P. Macagba, Johanne Rei R. Castro, Rainbow Yi Hung Lam   +5 more
wiley   +1 more source

Prediction of Sea Surface Temperature by Combining Interdimensional and Self-Attention with Neural Networks

Remote Sensing, 2022
Sea surface temperature (SST) is one of the most important and widely used physical parameters for oceanography and meteorology. To obtain SST, in addition to direct measurement, remote sensing, and numerical models, a variety of data-driven models have ...
Xing Guo, Jianghai He, Biao Wang, Jiaji Wu   +3 more
doaj   +1 more source

Digital Transformation for Eco‐Innovation: Evidence From Agriculture 4.0 Adoption in Wine Firms

Business Strategy and the Environment, EarlyView.
ABSTRACT Firms face a fundamental strategic dilemma: how to align digital transformation with environmental sustainability while maintaining competitive advantage. Drawing on the eco‐innovation and green business strategy literature, this paper investigates how Agriculture 4.0 technologies act as enablers of sustainability strategies.
Alessandro Muscio, Amir Maghssudipour, Yuntao Wang   +2 more
wiley   +1 more source

Physiology–microhabitat matching may help organisms cope with the thermal and hydric challenges under climate change: a tale of two lizards

Ecography, EarlyView.
Climate change is significantly affecting biodiversity, and organisms that depend on external temperature – such as ectotherms – are particularly vulnerable to these effects. Microhabitats provide refuge for species, thereby reducing exposure to thermal and hydric stress under climate change.
Carolina Reyes‐ Puig, Antigoni Kaliontzopoulou, Neftalí Sillero, Urtzi Enriquez‐ Urzelai   +3 more
wiley   +1 more source

Training and Research Under the Typhoon Committee

Tropical Cyclone Research and Review, 2018
: The ESCAP/WMO Typhoon Committee Training and Research Coordination Group (TRCG), formerly known as the Typhoon Research Coordination Group, has served Members of the Typhoon Committee for more than 20 years. As evident from the change of its name, TRCG
Tsz-Cheung Lee, Edwin S.T. Lai
doaj   +1 more source

A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants

Energy Science &Engineering, EarlyView.
A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei, S. Ayoub Mirtavousi, Mohammadreza Dehghan   +2 more
wiley   +1 more source

Determination of crop coefficients and optimum irrigation schedules for bidi tobacco and pearl millet crops in central Gujarat

Journal of Agrometeorology, 2012
An attempt was made to determine the rate of ETc and crop coefficients during various growth stages of bidi tobacco and pearl millet crops in central Gujarat by water balance approach.
B. KRISHNA RAO, GOPAL KUMAR, R. S. KUROTHE, VYAS PANDEY, P. K. MISHRA, A. K. VISHWAKARMA, M. J. BARAIYA   +6 more
doaj   +1 more source

A validated methodology for the prediction of heating and cooling energy demand for buildings within the Urban Heat Island: Case-study of London [PDF]

, 2010
This is the post-print version of the final paper published in Solar Energy. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and ...
Anna Mavrogianni, Ben Croxford, Erell, Giridharan, Kim, Kolokotroni, Kolokotroni, Kolokotroni, Livada, Maria Kolokotroni, Memon, Michael Davies, Mihalakakou, Mihalakakou, Oke, Oke, Roth, Saiful Bhuiyan, Swaid, Tabahashi, Taha, Taha, Watkins   +22 more
core   +1 more source

Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study

Energy Science &Engineering, EarlyView.
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Khurram Hashmi, Abbas Javed, Basem Alamri, Krzysztof Ejsmont   +6 more
wiley   +1 more source