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- Yield potential (2)
- APSIM modeling (1)
- Aerosols and particles (1)
- Atmospheric aerosols (1)
- Atmospheric composition and structure (1)
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- Atmospheric modeling (1)
- Climate change (1)
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- Crop models (1)
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- Indo-Gangetic Regision (1)
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- Maize (1)
- Methane emission (1)
- Pollution – urban and regional) (1)
- Regional impacts (1)
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Articles 1 - 5 of 5
Full-Text Articles in Atmospheric Sciences
Analysis Of Aerosol Absorption Properties And Transport Over North Africa And The Middle East Using Aeronet Data, Ashraf Farahat, Hesham El-Askary, Peter Adetokunbo, Abu-Tharr Fuad
Analysis Of Aerosol Absorption Properties And Transport Over North Africa And The Middle East Using Aeronet Data, Ashraf Farahat, Hesham El-Askary, Peter Adetokunbo, Abu-Tharr Fuad
Mathematics, Physics, and Computer Science Faculty Articles and Research
In this paper particle categorization and absorption properties were discussed to understand transport mechanisms at different geographic locations and possible radiative impacts on climate. The long-term Aerosol Robotic Network (AERONET) data set (1999–2015) is used to estimate aerosol optical depth (AOD), single scattering albedo (SSA), and the absorption Ångström exponent (abs) at eight locations in North Africa and the Middle East. Average variation in SSA is calculated at four wavelengths (440, 675, 870, and 1020 nm), and the relationship between aerosol absorption and physical properties is used to infer dominant aerosol types at different locations. It was found that seasonality …
Measuring Landfill Methane Emissions Using Satellite And Ground Data, Madjid Delkash, Bowen Zhou, Ramesh P. Singh
Measuring Landfill Methane Emissions Using Satellite And Ground Data, Madjid Delkash, Bowen Zhou, Ramesh P. Singh
Mathematics, Physics, and Computer Science Faculty Articles and Research
Landfill methane emissions (LME) vary in short periods depending upon the meteorological and atmospheric conditions. In this paper, coupling the Atmospheric InfraRed Sounder (AIRS) with the tracer dilution method (TDM) is proposed during unmeasured emission days to have a better annual estimation of the LME. Some assumptions were made to develop this proposed model. The atmospheric model Advanced Regional Prediction System (ARPS) was employed to evaluate assumptions made during emission estimation using the proposed technique. Methane emissions of a landfill for 13 days during 2011–2013 were measured by the TDM and filtered to remove unreliable data. Then, the filtered data …
Dynamical Characteristics Of Atmospheric Aerosols Over Ig Region, Manish Sharma, Ramesh P. Singh, Rajesh Kumar
Dynamical Characteristics Of Atmospheric Aerosols Over Ig Region, Manish Sharma, Ramesh P. Singh, Rajesh Kumar
Mathematics, Physics, and Computer Science Faculty Articles and Research
The dynamical characteristics of atmospheric aerosols over the Indo-Gangetic (IG) region are primarily dependent on the geographical settings and meteorological conditions. Detailed analysis of multi satellite data and ground observations have been carried out over three different cities i.e. Kanpur, Greater Noida and Amritsar during 2010-2013. Level-3 Moderate Resolution Imaging Spectroradiometer (MODIS) terra daily global grid product with spatial resolution of 1° × 1° shows the mean AOD at 500 nm wavelength value of 0.73, 0.70 and 0.67 with the standard deviation of 0.43, 0.39 and 0.36 respectively over Amritsar, Greater Noida and Kanpur. Our detailed analysis shows characteristic behavior …
Regional Variations Of Optimal Sowing Dates Of Maize For The Southwestern U.S., Boksoon Myoung, Seung Hee Kim, Jinwon Kim, Menas Kafatos
Regional Variations Of Optimal Sowing Dates Of Maize For The Southwestern U.S., Boksoon Myoung, Seung Hee Kim, Jinwon Kim, Menas Kafatos
Mathematics, Physics, and Computer Science Faculty Articles and Research
Sowing date (SD) is sensitive to regional climate characteristics; thus, it is critical to systematically examine the effects of SD on crop yields for various temperature regimes. We performed a sensitivity study of SD for maize in the southwestern U.S. using the regionally extended version of the Agricultural Production Systems sIMulator (APSIM) model. The model was run utilizing North American Regional Reanalysis at a 32 km resolution from 1991 to 2011, with an irrigation threshold at 95% of the soil water-holding capacity. Two types of SD optimizations maximizing yield potential (Yp), varying spatially or interannually, revealed that the optimal SD …
Sensitivity Of Maize Yield Potential To Regional Climate In The Southwestern U.S., Seung Hee Kim, Boksoon Myoung, David Stack, Jinwon Kim, Menas Kafatos
Sensitivity Of Maize Yield Potential To Regional Climate In The Southwestern U.S., Seung Hee Kim, Boksoon Myoung, David Stack, Jinwon Kim, Menas Kafatos
Mathematics, Physics, and Computer Science Faculty Articles and Research
The sensitivity of maize yields to the regional climate in the Southwestern U.S. (SWUS) has been investigated by using the Agricultural Production Systems sIMulator (APSIM) model in conjunction with meteorological forcings [daily maximum and minimum temperature (Tmax and Tmin), precipitation, and radiation] from the North American Regional Reanalysis (NARR) dataset. Sensitivity experiments showed that potential crop production responded nonlinearly to variations in Tmax, Tmin, and downwelling solar radiation at the surface. Mean annual yield potential (Yp) was changed by -3.0 and 1.79 Mg ha-1 for the +1 and -1 standard deviations (σ) of Tmax variation for entire the SWUS. The …