Characteristics of meteorological variables and their implications on evaporation in Roorkee (India)

AbstractDue to the importance of generating energy sustainably, with the Sun being a large solar power plant for the Earth, we study the cross-correlations between the main meteorological variables (global solar radiation, air temperature, and relative air humidity) from a global cross-correlation perspective to efficiently capture solar energy. This is done initially between pairs of these variables, with the Detrended Cross-Correlation Coefficient, ρDCCA, and subsequently with the recently developed Multiple Detrended Cross-Correlation Coefficient, $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}$$DMCx2. We use the hourly data from three meteorological stations of the Brazilian Institute of Meteorology located in the state of Bahia (Brazil). Initially, with the original data, we set up a color map for each variable to show the time dynamics. After, ρDCCA was calculated, thus obtaining a positive value between the global solar radiation and air temperature, and a negative value between the global solar radiation and air relative humidity, for all time scales. Finally, for the first time, was applied $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}$$DMCx2 to analyze cross-correlations between three meteorological variables at the same time. On taking the global radiation as the dependent variable, and assuming that $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}={\bf{1}}$$DMCx2=1 (which varies from 0 to 1) is the ideal value for the capture of solar energy, our analysis finds some patterns (differences) involving these meteorological stations with a high intensity of annual solar radiation.

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Estimating time series of aerosol particle number concentrations in the five HEAPSS cities on the basis of measured air pollution and meteorological variables

Atmospheric Environment ◽

10.1016/j.atmosenv.2004.12.036 ◽

2005 ◽

Vol 39 (12) ◽

pp. 2261-2273 ◽

Cited By ~ 29

Author(s):

Pentti Paatero ◽

Pasi Aalto ◽

Sally Picciotto ◽

Tom Bellander ◽

Gemma Castaño ◽

...

Keyword(s):

Air Pollution ◽

Time Series ◽

Aerosol Particle ◽

Particle Number ◽

Meteorological Variables

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Air-Sea Interactions over Eddies in the Brazil-Malvinas Confluence

Remote Sensing ◽

10.3390/rs13071335 ◽

2021 ◽

Vol 13 (7) ◽

pp. 1335

Author(s):

Ronald Souza ◽

Luciano Pezzi ◽

Sebastiaan Swart ◽

Fabrício Oliveira ◽

Marcelo Santini

Keyword(s):

Latent Heat ◽

Large Scale ◽

Surface Wind ◽

Heat Fluxes ◽

Lower Atmosphere ◽

Meteorological Variables ◽

Global Ocean ◽

Study Region ◽

Cold Core

The Brazil–Malvinas Confluence (BMC) is one of the most dynamical regions of the global ocean. Its variability is dominated by the mesoscale, mainly expressed by the presence of meanders and eddies, which are understood to be local regulators of air-sea interaction processes. The objective of this work is to study the local modulation of air-sea interaction variables by the presence of either a warm (ED1) and a cold core (ED2) eddy, present in the BMC, during September to November 2013. The translation and lifespans of both eddies were determined using satellite-derived sea level anomaly (SLA) data. Time series of satellite-derived surface wind data, as well as these and other meteorological variables, retrieved from ERA5 reanalysis at the eddies’ successive positions in time, allowed us to investigate the temporal modulation of the lower atmosphere by the eddies’ presence along their translation and lifespan. The reanalysis data indicate a mean increase of 78% in sensible and 55% in latent heat fluxes along the warm eddy trajectory in comparison to the surrounding ocean of the study region. Over the cold core eddy, on the other hand, we noticed a mean reduction of 49% and 25% in sensible and latent heat fluxes, respectively, compared to the adjacent ocean. Additionally, a field campaign observed both eddies and the lower atmosphere from ship-borne observations before, during and after crossing both eddies in the study region during October 2013. The presence of the eddies was imprinted on several surface meteorological variables depending on the sea surface temperature (SST) in the eddy cores. In situ oceanographic and meteorological data, together with high frequency micrometeorological data, were also used here to demonstrate that the local, rather than the large scale forcing of the eddies on the atmosphere above, is, as expected, the principal driver of air-sea interaction when transient atmospheric systems are stable (not actively varying) in the study region. We also make use of the in situ data to show the differences (biases) between bulk heat flux estimates (used on atmospheric reanalysis products) and eddy covariance measurements (taken as “sea truth”) of both sensible and latent heat fluxes. The findings demonstrate the importance of short-term changes (minutes to hours) in both the atmosphere and the ocean in contributing to these biases. We conclude by emphasizing the importance of the mesoscale oceanographic structures in the BMC on impacting local air-sea heat fluxes and the marine atmospheric boundary layer stability, especially under large scale, high-pressure atmospheric conditions.

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Photovoltaic output power performance assessment and forecasting: Impact of meteorological variables

Solar Energy ◽

10.1016/j.solener.2021.04.004 ◽

2021 ◽

Vol 220 ◽

pp. 745-757

Author(s):

Abderrezzaq Ziane ◽

Ammar Necaibia ◽

Nordine Sahouane ◽

Rachid Dabou ◽

Mohammed Mostefaoui ◽

...

Keyword(s):

Performance Assessment ◽

Output Power ◽

Meteorological Variables ◽

Power Performance

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Winter survival response of canola to meteorological variables and adaptative areas for current canola germplasm in the United States

Agricultural and Forest Meteorology ◽

10.1016/j.agrformet.2020.108267 ◽

2021 ◽

Vol 297 ◽

pp. 108267

Author(s):

Mario A. Secchi ◽

Leonardo M. Bastos ◽

Michael J. Stamm ◽

Yancy Wright ◽

Chris Foster ◽

...

Keyword(s):

United States ◽

The United States ◽

Winter Survival ◽

Meteorological Variables

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Cumulative Effects of Particulate Matter Pollution and Meteorological Variables on the Risk of Influenza-Like Illness

Viruses ◽

10.3390/v13040556 ◽

2021 ◽

Vol 13 (4) ◽

pp. 556

Author(s):

Kacper Toczylowski ◽

Magdalena Wietlicka-Piszcz ◽

Magdalena Grabowska ◽

Artur Sulik

Keyword(s):

Particulate Matter ◽

Respiratory Infections ◽

Nonlinear Models ◽

Absolute Humidity ◽

Influenza Viruses ◽

Meteorological Variables ◽

Exponential Relationship ◽

Influenza Like Illness ◽

Air Temperatures ◽

The Impact

The cold season is usually accompanied by an increased incidence of respiratory infections and increased air pollution from combustion sources. As we are facing growing numbers of COVID-19 cases caused by the novel SARS-CoV-2 coronavirus, an understanding of the impact of air pollutants and meteorological variables on the incidence of respiratory infections is crucial. The incidence of influenza-like illness (ILI) can be used as a close proxy for the circulation of influenza viruses. Recently, SARS-CoV-2 has also been detected in patients with ILI. Using distributed lag nonlinear models, we analyzed the association between ILI, meteorological variables and particulate matter concentration in Bialystok, Poland, from 2013–2019. We found an exponential relationship between cumulative PM2.5 pollution and the incidence of ILI, which remained significant after adjusting for air temperatures and a long-term trend. Pollution had the greatest effect during the same week, but the risk of ILI was increased for the four following weeks. The risk of ILI was also increased by low air temperatures, low absolute humidity, and high wind speed. Altogether, our results show that all measures implemented to decrease PM2.5 concentrations would be beneficial to reduce the transmission of SARS-CoV-2 and other respiratory infections.

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