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1. Optimization strategy by a general approach to enhance improving potential of dew-point evaporative coolers

Author:
Sohani, Ali; Sayyaadi, Hoseyn; Zeraatpisheh, Milad
Source:
Energy conversion and management 2019 v.188 pp. 177-213
ISSN:
0196-8904
Subject:
climatic factors,   etc   ; air; coolers; operating costs;     Show all 4 Subjects
Abstract:
... An hourly optimization strategy to enhance dew-point indirect evaporative coolers is presented. First, the performance of the system throughout a year is modeled and then, using the hourly values of input parameters, a multi-objective optimization is done at each hour. Four diverse climatic conditions in the world, in which the system is the best cooling option, are studied while operating cost, t ...
DOI:
10.1016/j.enconman.2019.02.079

2. Naturalized distributions show that climatic disequilibrium is structured by niche size in pines (Pinus L.)

Author:
Perret, Daniel L.; Leslie, Andrew B.; Sax, Dov F.
Source:
Global ecology and biogeography 2019 v.28 no.4 pp. 429-441
ISSN:
1466-822X
Subject:
climatic factors,   etc   ; Pinus; ecoregions; models; niches;     Show all 5 Subjects
Abstract:
... AIM: The assumption that the native distributions of species are in equilibrium with climate has been shown to be frequently violated, despite its centrality to many niche model applications. We currently lack a framework that predicts these violations. Here, we examine whether variation in climatic disequilibrium is structured by properties of species’ native distributions and climatic niches. LO ...
DOI:
10.1111/geb.12862

3. Identify optimal predictors of statistical downscaling of summer daily precipitation in China from three-dimensional large-scale variables

Author:
Liu, Yonghe; Feng, Jinming; Shao, Yuehong; Li, JianLin
Source:
Atmospheric research 2019 v.224 pp. 99-113
ISSN:
0169-8095
Subject:
climatic factors,   etc   ; algorithms; atmospheric precipitation; linear models; summer; China;     Show all 6 Subjects
Abstract:
... Statistical downscaling (SD) of daily precipitation is a challenging task, and the identification of predictors is crucial for constructing SD models. This study focuses on identifying SD predictors for summer (June–September) daily precipitation in China. Six large-scale variables (LSVs) in ERA-Interim reanalysis were used to select predictors for 177 sites. For each site, the predictor identific ...
DOI:
10.1016/j.atmosres.2019.03.022

4. Connecting experts in the agricultural and meteorological sciences to advance knowledge of pest management in a changing climate

Author:
Young, Stephen L.; Goldowsky-Dill, Nicholas W.; Muhammad, Javed; Epstein, Michelle M.
Source:
The Science of the total environment 2019 v.673 pp. 694-698
ISSN:
0048-9697
Subject:
climatic factors,   etc   ; algorithms; climate change; experts; pest management; pests;     Show all 6 Subjects
Abstract:
... There has been considerable progress in elucidating the physical aspects of climate change that directly impact food, feed, and fiber production. However, these impact assessments rarely account for climate induced changes associated with biological pests. The lack of collaboration between the pest management and climate science disciplines could be contributing to the problem. Therefore, we asses ...
DOI:
10.1016/j.scitotenv.2019.04.126

5. Improved crop forecasts for the Australian macadamia industry from ensemble models

Author:
Mayer, David G.; Chandra, Kerri A.; Burnett, Jolyon R.
Source:
Agricultural systems 2019 v.173 pp. 519-523
ISSN:
0308-521X
Subject:
climatic factors,   etc   ; Macadamia; horticulture; least squares; linear models; trees; Australia;     Show all 7 Subjects
Abstract:
... Annual forecasts for the Australian macadamia crop have been issued since 2001, with varying (and not always improving) degrees of accuracy. Regression models using climate variables have formed the basis for these forecasts, with general linear model (GLM) ensembles being adopted more recently. This has proven to be a challenging task, as there are only a small number of observations (18) combine ...
DOI:
10.1016/j.agsy.2019.03.018

6. A Bayesian modelling approach to forecasting short-term reference crop evapotranspiration from GCM outputs

Author:
Zhao, Tongtiegang; Wang, Quan J.; Schepen, Andrew
Source:
Agricultural and forest meteorology 2019 v.269-270 pp. 88-101
ISSN:
0168-1923
Subject:
climatic factors,   etc   ; climatology; environmental management; evapotranspiration; normal distribution; Australia;     Show all 6 Subjects
Abstract:
... Evapotranspiration is one of the most important climate variables for agricultural and environmental management. We investigate the characteristics of daily crop evapotranspiration (ETo) forecasts up to 16 days ahead derived from GCM outputs using the Penman-Monteith Equation. Furthermore, we propose a post-processing method to calibrate the raw ETo forecasts to observations and improve overall re ...
DOI:
10.1016/j.agrformet.2019.02.003

7. Simulation of extreme heat events over the Valencia coastal region: Sensitivity to initial conditions and boundary layer parameterizations

Author:
Gómez, I.; Niclòs, R.; Estrela, M.J.; Caselles, V.; Barberà, M.J.
Source:
Atmospheric research 2019 v.218 pp. 315-334
ISSN:
0169-8095
Subject:
climatic factors,   etc   ; coasts; geophysics; heat; models; temperature; tempering; troposphere; wind;     Show all 9 Subjects
Abstract:
... The Valencia coastal region (Western Mediterranean) is especially sensitive to extreme heat events, where they are really common. However, due to its geophysical characteristics and climatic conditions, the incidence of high and extreme temperatures may still be modulated over this area by means of sea breeze circulations, defining a Sea Breeze Convergence Zone (SBCZ) due to the meet and interacti ...
DOI:
10.1016/j.atmosres.2018.12.016

8. Phylogenetic and spatial analyses suggest minimum temperature as an environmental filter for turtle communities

Author:
Rodrigues, João Fabrício Mota; Sobral, Fernando Landa; Iverson, John B.; Diniz‐Filho, José Alexandre Felizola
Source:
Journal of biogeography 2019 v.46 no.4 pp. 671-679
ISSN:
0305-0270
Subject:
climatic factors,   etc   ; altitude; cold; community structure; filters; phylogeny; temperature; turtles;     Show all 8 Subjects
Abstract:
... AIM: This study aims to evaluate phylogenetic structure of turtle communities and their potential correlates on a global scale. More specifically, we tested whether cold temperatures and low precipitation could act as potential environmental filters of turtle communities and whether the dispersal limitation caused by altitudinal range could generate phylogenetic clustered patterns in these communi ...
DOI:
10.1111/jbi.13527

9. Causal, temporal and spatial statistics of wildfires in areas of planted forests in Brazil

Author:
Eugenio, Fernando Coelho; dos Santos, Alexandre Rosa; Pedra, Beatriz Duguy; Macedo Pezzopane, José Eduardo; Mafia, Reginaldo Gonçalves; Loureiro, Edmilson Bitti; Martins, Lima Deleon; Saito, Nathália Suemi
Source:
Agricultural and forest meteorology 2019 v.266-267 pp. 157-172
ISSN:
0168-1923
Subject:
climatic factors,   etc   ; forests; landscapes; socioeconomic factors; statistics; topography; wildfires; Brazil;     Show all 8 Subjects
Abstract:
... Wildfires are the result of a complex interaction between climate, vegetation, topography and socioeconomic factors (BEDIA et al., 2012). The present study aims at analyzing how the relations between the meteorological and physical variables of the terrain correlate with the parameters of occurrence of wildfires in areas of planted forests in Brazil. The analysis of the wildfire regime in the stud ...
DOI:
10.1016/j.agrformet.2018.12.014

10. Predictive performance of NMME seasonal forecasts of global precipitation: A spatial-temporal perspective

Author:
Zhao, Tongtiegang; Zhang, Yongyong; Chen, Xiaohong
Source:
Journal of hydrology 2019 v.570 pp. 17-25
ISSN:
0022-1694
Subject:
climatic factors,   etc   ; climate models; hydrology; principal component analysis;     Show all 4 Subjects
Abstract:
... Global climate models (GCMs) produce informative seasonal forecasts of global precipitation months ahead of the occurrence for hydrological forecasting. Meanwhile, the skill of GCM forecasts varies by location and initialization time. In this paper, we investigate the anomaly correlation, which indicates the correspondence between forecasts and observations, for 10 sets of global precipitation for ...
DOI:
10.1016/j.jhydrol.2018.12.036

11. Scenarios and Decision Support for Security and Conflict Risks in the Context of Climate Change

Author:
Schweizer, Vanessa
Source:
Current climate change reports 2019 v.5 no.1 pp. 12-23
ISSN:
2198-6061
Subject:
climatic factors,   etc   ; climate change; politics; risk; risk assessment; socioeconomics;     Show all 6 Subjects
Abstract:
... PURPOSE OF REVIEW: Concerns about conflict induced by climate change have captured the attention of policymakers, but the scientific foundations for these claims are contested. This review briefly examines different ways that the future of conflict risk in the context of climate change has been characterized, with a particular focus on scenarios. RECENT FINDINGS: Scientific consensus remains low o ...
DOI:
10.1007/s40641-019-00123-0

12. Variability of precipitation in Poland under climate change

Author:
Szwed, Małgorzata
Source:
Theoretical and applied climatology 2019 v.135 no.3-4 pp. 1003-1015
ISSN:
0177-798X
Subject:
climatic factors,   etc   ; climate change; summer; temperature; Central European region; Poland;     Show all 6 Subjects
Abstract:
... The surface warming has been widespread over the entire globe. Central Europe, including Poland, is not an exception. Global temperature increases are accompanied by changes in other climatic variables. Climate change in Poland manifests itself also as change in annual sums of precipitation. They have been slightly growing but, what is more important, seasonal and monthly distributions of precipit ...
DOI:
10.1007/s00704-018-2408-6

13. Climate, conflict and forced migration

Author:
Abel, Guy J.; Brottrager, Michael; Crespo Cuaresma, Jesus; Muttarak, Raya
Source:
Global environmental change 2019 v.54 pp. 239-249
ISSN:
0959-3780
Subject:
climatic factors,   etc   ; climate change; drought; models; politics; Europe; Syria;     Show all 7 Subjects
Abstract:
... Despite the lack of robust empirical evidence, a growing number of media reports attempt to link climate change to the ongoing violent conflicts in Syria and other parts of the world, as well as to the migration crisis in Europe. Exploiting bilateral data on asylum seeking applications for 157 countries over the period 2006–2015, we assess the determinants of refugee flows using a gravity model wh ...
DOI:
10.1016/j.gloenvcha.2018.12.003

14. On climate prediction: how much can we expect from climate memory?

Author:
Yuan, Naiming; Huang, Yan; Duan, Jianping; Zhu, Congwen; Xoplaki, Elena; Luterbacher, Jürg
Source:
Climate dynamics 2019 v.52 no.1-2 pp. 855-864
ISSN:
0930-7575
Subject:
climatic factors,   etc   ; climate models; dynamic models; statistical models; variance;     Show all 5 Subjects
Abstract:
... Slowing variability in climate system is an important source of climate predictability. However, it is still challenging for current dynamical models to fully capture the variability as well as its impacts on future climate. In this study, instead of simulating the internal multi-scale oscillations in dynamical models, we discussed the effects of internal variability in terms of climate memory. By ...
DOI:
10.1007/s00382-018-4168-5

15. A combination of climatic conditions determines major within-season dengue outbreaks in Guangdong Province, China

Author:
Wang, Xia; Tang, Sanyi; Wu, Jianhong; Xiao, Yanni; Cheke, Robert A.
Source:
Parasites & vectors 2019 v.12 no.1 pp. 45
ISSN:
1756-3305
Subject:
climatic factors,   etc   ; dengue; humans; imagos; models; prediction; rain; reproduction; temperature; China;     Show all 10 Subjects
Abstract:
... BACKGROUND: China’s Guangdong Province experienced a major dengue outbreak in 2014. Here we investigate if the weather conditions contributing to the outbreak can be elucidated by multi-scale models. METHODS: A multi-scale modelling framework, parameterized by available weather, vector and human case data, was used to examine the integrative effect of temperature and precipitation variation on the ...
DOI:
10.1186/s13071-019-3295-0

16. Scoping the potential usefulness of seasonal climate forecasts for solar power management

Author:
De Felice, Matteo; Soares, Marta Bruno; Alessandri, Andrea; Troccoli, Alberto
Source:
Renewable energy 2019 v.142 pp. 215-223
ISSN:
0960-1481
Subject:
climatic factors,   etc   ; decision making; electricity; prediction; solar energy; solar farms; solar radiation; weather forecasting; Europe;     Show all 9 Subjects
Abstract:
... Solar photovoltaic energy is widespread worldwide and particularly in Europe, which became in 2016 the first region in the world to pass the 100 GW of installed capacity. As with all the renewable energy sources, for an effective management of solar power, it is essential to have reliable and accurate information about weather/climate conditions that affect the production of electricity. Operation ...
DOI:
10.1016/j.renene.2019.03.134

17. Evaluation of MODIS land surface temperature products for daily air surface temperature estimation in northwest Vietnam

Author:
Phan, Thanh Noi; Kappas, Martin; Nguyen, Khac Thoi; Tran, Trong Phuong; Tran, Quoc Vinh; Emam, Ammar Rafiei
Source:
International journal of remote sensing 2019 v.40 no.14 pp. 5544-5562
ISSN:
1366-5901
Subject:
climatic factors,   etc   ; air; air temperature; moderate resolution imaging spectroradiometer; quality control; remote sensing; surface temperature; Vietnam;     Show all 8 Subjects
Abstract:
... Recently, the MODerate resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) is considered one of the most suitable ways to retrieve air surface temperature (Tₐ) – one of the most important and widely used climate variables for a wide range of applications. In fact, many successful studies have been reported in many regions of the world. Each day, four MODIS LST data are avai ...
DOI:
10.1080/01431161.2019.1580789

18. Equatorward western boundary transport from the South Pacific: Glider observations, dynamics and consequences

Author:
Kessler, William S.; Hristova, Hristina G.; Davis, Russ E.
Source:
Progress in oceanography 2019 v.175 pp. 208-225
ISSN:
0079-6611
Subject:
climatic factors,   etc   ; El Nino; advection; heat transfer; models; temperature; time series analysis; tropics; wind;     Show all 9 Subjects
Abstract:
... The Solomon Sea carries the equatorward western boundary current of the South Pacific, a principal element of subtropical-equatorial communication. Eighty-seven glider transects across the mouth of the Sea over nine years describe the velocity structure and variability of this system. The time series spans two El Niños and two La Niñas, which produced large transport anomalies, up to 50% of the me ...
DOI:
10.1016/j.pocean.2019.04.005

19. Gone with the wind: International migration

Author:
Wesselbaum, Dennis; Aburn, Amelia
Source:
Global and planetary change 2019 v.178 pp. 96-109
ISSN:
0921-8181
Subject:
climatic factors,   etc   ; data collection; equations; immigration; issues and policy; theoretical models; wind;     Show all 7 Subjects
Abstract:
... This paper adds to the literature on the determinants of international migration. First, we offer a joint analysis of the driving forces of migration capturing year-to-year variations and long-run effects. Second, we analyze the dynamic response of migration to shocks to its determinants.We start by presenting a theoretical model that allows us to model migration as an augmented gravity equation. ...
DOI:
10.1016/j.gloplacha.2019.04.008

20. Redefining the climate niche of plant species: A novel approach for realistic predictions of species distribution under climate change

Author:
Ferrarini, Alessandro; Dai, Junhu; Bai, Yang; Alatalo, Juha M.
Source:
The Science of the total environment 2019 v.671 pp. 1086-1093
ISSN:
0048-9697
Subject:
climatic factors,   etc   ; Silene acaulis; climate change; climate models; geographical distribution; prediction; North America;     Show all 7 Subjects
Abstract:
... Climate change is increasingly affecting plant species distributions, in ways that need to be predicted. Here, in a novel prediction approach, we developed the relevant climate niche (RCN) of plants, based on thorough selection of climate variables and implementation of a non-parametric Bayesian network for climate simulations. The RCN was conditionalized to project the fate of Silene acaulis in N ...
DOI:
10.1016/j.scitotenv.2019.03.353