Search Results - "Anantharaj, G."

Fabrication of Stable Dye Sensitized Solar Cell with Gel electrolytes Using Poly(ethylene oxide)-Poly(ethylene glycol) by Anantharaj, G., Joseph, James, Selvaraj, M., Jeyakumar, D.

“…Fabrication of quasi solid state dye sensitized solar cell with a stable gel electrolyte employing poly(ethylene oxide) (PEO)-poly(ethylene glycol) (PEG) is…”
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Enhancing the Efficiency of DSSCs by the Modification of TiO2 Photoanodes using N, F and S, co-doped Graphene Quantum Dots by Kundu, Sumana, Sarojinijeeva, P., Karthick, R., Anantharaj, G., Saritha, G., Bera, Rajesh, Anandan, S., Patra, Amitava, Ragupathy, P., Selvaraj, M., Jeyakumar, D., Pillai, K. Vijayamohanan

“…We report an enhanced power conversion efficiency (PCE) of 11.7%±0.2 and a fill factor (FF) of 71% for dye-sensitized solar cells (DSSC) with an active area of…”
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A Baseline for Global Weather and Climate Simulations at 1 km Resolution by Wedi, Nils P., Polichtchouk, Inna, Dueben, Peter, Anantharaj, Valentine G., Bauer, Peter, Boussetta, Souhail, Browne, Philip, Deconinck, Willem, Gaudin, Wayne, Hadade, Ioan, Hatfield, Sam, Iffrig, Olivier, Lopez, Philippe, Maciel, Pedro, Mueller, Andreas, Saarinen, Sami, Sandu, Irina, Quintino, Tiago, Vitart, Frederic

“…In an attempt to advance the understanding of the Earth's weather and climate by representing deep convection explicitly, we present a global, four‐month…”
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Effects of climate change on probable maximum precipitation: A sensitivity study over the Alabama‐Coosa‐Tallapoosa River Basin by Rastogi, Deeksha, Kao, Shih‐Chieh, Ashfaq, Moetasim, Mei, Rui, Kabela, Erik D., Gangrade, Sudershan, Naz, Bibi S., Preston, Benjamin L., Singh, Nagendra, Anantharaj, Valentine G.

“…Probable maximum precipitation (PMP), defined as the largest rainfall depth that could physically occur under a series of adverse atmospheric conditions, has…”
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Impacts of land use-land cover change on climate and future research priorities by Mahmood, Rezaul, Pielke, Roger A. Sr, Hubbard, Kenneth G, Niyogi, Dev, Bonan, Gordon, Lawrence, Peter, McNider, Richard, McAlpine, Clive, Etter, Andres, Gameda, Samuel, Qian, Budong, Carleton, Andrew, Beltran-Przekurat, Adriana, Chase, Thomas, Quintanar, Arturo I, Adegoke, Jimmy O, Vezhapparambu, Sajith, Conner, Glen, Asefi, Salvi, Sertel, Elif, Legates, David R, Wu, Yuling, Hale, Robert, Frauenfeld, Oliver W, Watts, Anthony, Shepherd, Marshall, Mitra, Chandana, Anantharaj, Valentine G, Fall, Souleymane, Lund, Robert, Trevino, Anna, Blanken, Peter, Du, Jinyang

“…[...] we also need strategies that will help us to detect and overcome these biases and thus lead to an improved understanding of the role of land use forcing…”
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Estimating Submicron Aerosol Mixing State at the Global Scale With Machine Learning and Earth System Modeling by Zheng, Zhonghua, Curtis, Jeffrey H., Yao, Yu, Gasparik, Jessica T., Anantharaj, Valentine G., Zhao, Lei, West, Matthew, Riemer, Nicole

“…This study integrates machine learning and particle‐resolved aerosol simulations to develop emulators that predict submicron aerosol mixing state indices from…”
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On the Use of the Genetic Algorithm Filter-Based Feature Selection Technique for Satellite Precipitation Estimation by Mahrooghy, M., Younan, N. H., Anantharaj, V. G., Aanstoos, J., Yarahmadian, S.

“…A feature selection technique is used to enhance the precipitation estimation from remotely sensed imagery using an artificial neural network (PERSIANN) and…”
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Enhancement of Satellite Precipitation Estimation via Unsupervised Dimensionality Reduction by Mahrooghy, M., Younan, N. H., Anantharaj, V. G., Aanstoos, J. V.

“…A methodology to enhance satellite precipitation estimation using unsupervised dimensionality reduction (UDR) techniques is developed. This enhanced technique…”
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Optimally Merging Precipitation to Minimize Land Surface Modeling Errors by Yilmaz, M. Tugrul, Houser, Paul, Shrestha, Roshan, Anantharaj, Valentine G.

“…This paper introduces a new method to improve land surface model skill by merging different available precipitation datasets, given that an accurate land…”
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A pattern recognition based approach to consistency analysis of geophysical datasets by Turlapaty, Anish C., Anantharaj, Valentine G., Younan, Nicolas H.

“…Remotely sensed data from satellites are often validated by comparing them against ground-based measurements which usually are relatively sparse. Conventional…”
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Interpolation of Missing Values in AMSR-E Soil Moisture Data Using Modified SSA by Turlapaty, A C, Younan, N H, Anantharaj, V G

“…Soil moisture data available from the Advanced Microwave Scanning Radiometer-Earth Observation System (AMSR-E) onboard the National Aeronautic and Space…”
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On the Use of a Cluster Ensemble Cloud Classification Technique in Satellite Precipitation Estimation by Mahrooghy, Majid, Younan, Nicolas H., Anantharaj, Valentine G., Aanstoos, James, Yarahmadian, Shantia

“…In this paper, the link-based cluster ensemble (LCE) method is utilized to improve cloud classification and satellite precipitation estimation. High resolution…”
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linear merging methodology for high-resolution precipitation products using spatiotemporal regression by Turlapaty, Anish C, Younan, Nicolas H, Anantharaj, Valentine G

“…Currently, the only viable option for a global precipitation product is the merger of several precipitation products from different modalities. In this…”
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Precipitation data fusion using vector space transformation and artificial neural networks by Turlapaty, Anish C., Anantharaj, Valentine G., Younan, Nicolas H., Joseph Turk, F.

“…We have developed a new methodology to fuse several precipitation datasets, available from different estimation techniques. The method is based on artificial…”
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Observed and Simulated Soil Moisture Variability over the Lower Mississippi Delta Region by Mostovoy, Georgy V., Anantharaj, Valentine G.

“…To better understand error and spatial variability sources of soil moisture simulated with land surface models, observed and simulated values of soil moisture…”
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Augmenting satellite precipitation estimation with lightning information by Mahrooghy, Majid, Anantharaj, Valentine G, Younan, Nicolas H, Petersen, Walter A, Hsu, Kuo-Lin, Behrangi, Ali, Aanstoos, James

“…We have used lightning information to augment the precipitation estimation from remotely sensed imagery using an artificial neural network cloud classification…”
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Comparison of satellite‐derived TOA shortwave clear‐sky fluxes to estimates from GCM simulations constrained by satellite observations of land surface characteristics by Anantharaj, Valentine G., Nair, Udaysankar S., Lawrence, Peter, Chase, Thomas N., Christopher, Sundar, Jones, Thomas

“…Clear‐sky, upwelling shortwave flux at the top of the atmosphere $\left(S_{\rm {TOA}}^{\uparrow}\right)$, simulated using the atmospheric and land model…”
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Wildfire Potential Mapping over the State of Mississippi: A Land Surface Modeling Approach by Cooke, William H, Mostovoy, Georgy V, Anantharaj, Valentine G, Jolly, W. Matt

“…A relationship between the likelihood of wildfires and various drought metrics (soil moisture-based fire potential indices) were examined over the southern…”
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Soil Moisture Sensitivity to NRL-Blend High-Resolution Precipitation Products: Analysis of Simulations With Two Land Surface Models by Turk, F. Joseph, Mostovoy, Georgy V., Anantharaj, Valentine G.

“…We examine the Naval Research Laboratory (NRL) blended satellite (NRL-Blend) High-Resolution Precipitation Product (HRPP) as a proxy for a Global Precipitation…”
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Impact of Land Surface Heterogeneity on Mesoscale Atmospheric Dispersion by Wu, Yuling, Nair, Udaysankar S, Pielke, Roger A. Sr, McNider, Richard T, Christopher, Sundar A, Anantharaj, Valentine G

“…Prior numerical modelling studies show that atmospheric dispersion is sensitive to surface heterogeneities, but past studies do not consider the impact of a…”
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