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您的检索式：作者名="Kuldeep PRASAD"
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| 1 | Tower-Based Greenhouse Gas Measurement Network Design——The National Institute of Standards and Technology North East Corridor Testbed显示文摘The North–East Corridor(NEC) Testbed project is the 3rd of three NIST(National Institute of Standards and Technology) greenhouse gas emissions testbeds designed to advance greenhouse gas measurements capabilities. A design approach for a dense observing network combined with atmospheric inversion methodologies is described. The Advanced Research Weather Research and Forecasting Model with the Stochastic Time-Inverted Lagrangian Transport model were used to derive the sensitivity of hypothetical observations to surface greenhouse gas emissions(footprints). Unlike other network design algorithms, an iterative selection algorithm, based on a k-means clustering method, was applied to minimize the similarities between the temporal response of each site and maximize sensitivity to the urban emissions contribution. Once a network was selected, a synthetic inversion Bayesian Kalman filter was used to evaluate observing system performance. We present the performances of various measurement network configurations consisting of differing numbers of towers and tower locations. Results show that an overly spatially compact network has decreased spatial coverage, as the spatial information added per site is then suboptimal as to cover the largest possible area, whilst networks dispersed too broadly lose capabilities of constraining flux uncertainties. In addition, we explore the possibility of using a very high density network of lower cost and performance sensors characterized by larger uncertainties and temporal drift. Analysis convergence is faster with a large number of observing locations, reducing the response time of the filter. Larger uncertainties in the observations implies lower values of uncertainty reduction. On the other hand, the drift is a bias in nature, which is added to the observations and,therefore, biasing the retrieved fluxes. | Israel LOPEZ-COTO Subhomoy GHOSH Kuldeep PRASAD James WHETSTONE | 2017 | Advances in Atmospheric Sciences2017，34，9： | 1 |
| 2 | A numerical study of water-mist suppression of large scale compartment fires显示文摘 | Kuldeep Prasad Gopal Patnaik K Kailasanath | 2002 | Fire Safety Journal2002，，37： | 1 |
| 3 | Simulation of Water mist suppression of small scale methanol liquid pool fires显示文摘 | Kuldeep Prasad Chiping Li K Kailasanath | 1999 | Fire Safety Journal1999，33，： | 1 |
| 4 | An Eigenvalue Method for Computing the Burning Rates of RDX Propellants显示文摘 | Kuldeep Prasad Richard A. Yetter Mitchell D. Smooke | 1997 | Combustion Science and Technology . 1997 (1-6)1997，，： | 1 |
| 5 | Simulation of water mist suppression of small scale methanol liquid pool fire 显示文摘 | Prasad Kuldeep Li Chiping Kailasanath K | 1999 | Fire Safety Journal1999，33，： | 1 |
| 6 | Simulation of water mist suppression of small scale methanol liquid pool fires 显示文摘 | Kuldeep Prasad Chiping Li K Kailasanath | 1999 | Fire Safety Journal1999，33，： | 1 |
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