The Experts below are selected from a list of 42762 Experts worldwide ranked by ideXlab platform
Lin Wantao - One of the best experts on this subject based on the ideXlab platform.
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the homotopic method of travelling wave solution for el nino tropic sea air coupled oscillator
Chinese Physics B, 2008Co-Authors: Mo Jiaqi, Lin WantaoAbstract:The EI Nino and Southern Oscillation (ENSO) is an interannual phenomenon involved in the tropical Pacific sea–air interactions. In this paper, an asymptotic method of solving nonlinear equations for the ENSO model is proposed. And based on a class of oscillator of the ENSO model and by employing the method of homotopic mapping, the approximate solution of equations for the corresponding ENSO model is studied. It is proved from the results that homotopic method can be used for analysing the sea surface Temperature Anomaly in the equatorial Pacific of the sea–air oscillator for the ENSO model.
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variational iteration solving method of a sea air oscillator model for the enso
Progress in Natural Science, 2007Co-Authors: Mo Jiaqi, Lin WantaoAbstract:Abstract A time delay equation for sea-air oscillator model is studied. The aim is to create an asymptotic soling method of nonlinear equation for the ENSO model. And based on a class of oscillators of ENSO model, employing the variational iteration method, the approximate solution of corresponding problem is obtained. It is proven from the results that the method of variational iteration method can be used for analyzing the sea surface Temperature Anomaly in the equatorial eastern Pacific of the atmosphere-ocean oscillation for ENSO model. *Supported by National Natural Science Foundation of China (Grant Nos. 40576012, 90111011), the National Program on Key Basic Research Project (Grant No. 2004CB418304) and in part by E-Institute of Shangai Municipal Education Commission (Grant No. E03004)
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variational iteration solving method of a sea air oscillator model for the enso
Progress in Natural Science, 2007Co-Authors: Mo Jiaqi, Lin WantaoAbstract:Abstract A time delay equation for sea-air oscillator model is studied. The aim is to create an asymptotic soling method of nonlinear equation for the ENSO model. And based on a class of oscillators of ENSO model, employing the variational iteration method, the approximate solution of corresponding problem is obtained. It is proven from the results that the method of variational iteration method can be used for analyzing the sea surface Temperature Anomaly in the equatorial eastern Pacific of the atmosphere-ocean oscillation for ENSO model. *Supported by National Natural Science Foundation of China (Grant Nos. 40576012, 90111011), the National Program on Key Basic Research Project (Grant No. 2004CB418304) and in part by E-Institute of Shangai Municipal Education Commission (Grant No. E03004)
Mo Jiaqi - One of the best experts on this subject based on the ideXlab platform.
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the homotopic method of travelling wave solution for el nino tropic sea air coupled oscillator
Chinese Physics B, 2008Co-Authors: Mo Jiaqi, Lin WantaoAbstract:The EI Nino and Southern Oscillation (ENSO) is an interannual phenomenon involved in the tropical Pacific sea–air interactions. In this paper, an asymptotic method of solving nonlinear equations for the ENSO model is proposed. And based on a class of oscillator of the ENSO model and by employing the method of homotopic mapping, the approximate solution of equations for the corresponding ENSO model is studied. It is proved from the results that homotopic method can be used for analysing the sea surface Temperature Anomaly in the equatorial Pacific of the sea–air oscillator for the ENSO model.
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variational iteration solving method of a sea air oscillator model for the enso
Progress in Natural Science, 2007Co-Authors: Mo Jiaqi, Lin WantaoAbstract:Abstract A time delay equation for sea-air oscillator model is studied. The aim is to create an asymptotic soling method of nonlinear equation for the ENSO model. And based on a class of oscillators of ENSO model, employing the variational iteration method, the approximate solution of corresponding problem is obtained. It is proven from the results that the method of variational iteration method can be used for analyzing the sea surface Temperature Anomaly in the equatorial eastern Pacific of the atmosphere-ocean oscillation for ENSO model. *Supported by National Natural Science Foundation of China (Grant Nos. 40576012, 90111011), the National Program on Key Basic Research Project (Grant No. 2004CB418304) and in part by E-Institute of Shangai Municipal Education Commission (Grant No. E03004)
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variational iteration solving method of a sea air oscillator model for the enso
Progress in Natural Science, 2007Co-Authors: Mo Jiaqi, Lin WantaoAbstract:Abstract A time delay equation for sea-air oscillator model is studied. The aim is to create an asymptotic soling method of nonlinear equation for the ENSO model. And based on a class of oscillators of ENSO model, employing the variational iteration method, the approximate solution of corresponding problem is obtained. It is proven from the results that the method of variational iteration method can be used for analyzing the sea surface Temperature Anomaly in the equatorial eastern Pacific of the atmosphere-ocean oscillation for ENSO model. *Supported by National Natural Science Foundation of China (Grant Nos. 40576012, 90111011), the National Program on Key Basic Research Project (Grant No. 2004CB418304) and in part by E-Institute of Shangai Municipal Education Commission (Grant No. E03004)
William O. Lamp - One of the best experts on this subject based on the ideXlab platform.
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climate change and phenology empoasca fabae hemiptera cicadellidae migration and severity of impact
PLOS ONE, 2015Co-Authors: Mitchell B. Baker, Dilip P. Venugopal, William O. LampAbstract:Climate change can benefit individual species, but when pest species are enhanced by warmer Temperatures agricultural productivity may be placed at greater risk. We analyzed the effects of Temperature Anomaly on arrival date and infestation severity of potato leafhopper, Empoasca fabae Harris, a classic new world long distance migrant, and a significant pest in several agricultural crops. We compiled E. fabae arrival dates and infestation severity data at different states in USA from existing literature reviews and agricultural extension records from 1951–2012, and examined the influence of Temperature anomalies at each target state or overwintering range on the date of arrival and severity of infestation. Average E. fabae arrival date at different states reveal a clear trend along the south-north axis, with earliest arrival closest to the overwintering range. E. fabae arrival has advanced by 10 days over the last 62 years. E. fabae arrived earlier in warmer years in relation to each target state level Temperature Anomaly (3.0 days / °C increase in Temperature Anomaly). Increased Temperature had a significant and positive effect on the severity of infestation, and arrival date had a marginal negative effect on severity. These relationships suggest that continued warming could advance the time of E. fabae colonization and increase their impact on affected crops.
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Summary of LMM results analyzing the influence of Temperature Anomaly on the overall earliest arrival day of Empoasca fabae in the United States during 1951–2012.
2015Co-Authors: Mitchell B. Baker, Dilip P. Venugopal, William O. LampAbstract:For each LMM, Temperature Anomaly was calculated differently as averages based on distributional range and seasons (see methods for details on overwintering and target states). Models are arranged in increasing values of AIC and BIC (Akaike information and Bayesian information criteria respectively).Summary of LMM results analyzing the influence of Temperature Anomaly on the overall earliest arrival day of Empoasca fabae in the United States during 1951–2012.
Anshuman Bhardwaj - One of the best experts on this subject based on the ideXlab platform.
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a review on remotely sensed land surface Temperature Anomaly as an earthquake precursor
International Journal of Applied Earth Observation and Geoinformation, 2017Co-Authors: Anshuman Bhardwaj, Shaktiman Singh, Akanksha Bhardwaj, Javier F Martintorres, P K Joshi, Rajesh KumarAbstract:Abstract The low predictability of earthquakes and the high uncertainty associated with their forecasts make earthquakes one of the worst natural calamities, capable of causing instant loss of life and property. Here, we discuss the studies reporting the observed anomalies in the satellite-derived Land Surface Temperature (LST) before an earthquake. We compile the conclusions of these studies and evaluate the use of remotely sensed LST anomalies as precursors of earthquakes. The arrival times and the amplitudes of the anomalies vary widely, thus making it difficult to consider them as universal markers to issue earthquake warnings. Based on the randomness in the observations of these precursors, we support employing a global-scale monitoring system to detect statistically robust anomalous geophysical signals prior to earthquakes before considering them as definite precursors.
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modis based estimates of strong snow surface Temperature Anomaly related to high altitude earthquakes of 2015
Remote Sensing of Environment, 2017Co-Authors: Anshuman Bhardwaj, Shaktiman Singh, Akanksha Bhardwaj, Javier F Martintorres, Atar Singh, Rajesh KumarAbstract:The high levels of uncertainty associated with earthquake prediction render earthquakes some of the worst natural calamities. Here, we present our observations of MODerate resolution Imaging Spectr ...
P D Jones - One of the best experts on this subject based on the ideXlab platform.
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a new estimate of the china Temperature Anomaly series and uncertainty assessment in 1900 2006
Journal of Geophysical Research, 2014Co-Authors: Jinfeng Wang, Zhongwei Yan, Ping Zhao, P D JonesAbstract:While global warming during the last century has been well recognized, the magnitude of the climate warming in regions such as China over the past 100years still has some uncertainty due to limited observations during the early years. Several series of Temperature anomalies for the 20(th) century in China have been independently developed by different groups. The uncertainty arises mainly from the sparse observations before 1950, where statistics are sensitive to the small and potentially biased sample. In this study, BSHADE-MSN (Biased Sentinel Hospitals Areal Disease Estimation and Means of Stratified Nonhomogeneous Surface), a combination of two novel distinct statistical methods that are applicable with different sample situations to a spatial heterogeneous surface, is applied to estimate annual mean Temperature anomalies for China. This method takes into account prior knowledge of geographical spatial autocorrelation and nonhomogeneity of target domains, remedies the biased sample, and maximizes an objective function for the best linear unbiased estimation (BLUE) of the regional mean quantity. For the period 1900-1999, the overall trend estimated by BSHADE-MSN is 0.80 degrees C with a 95% confidential interval between 0.41 degrees C and 1.18 degrees C. This is significantly lower than that calculated by Climate Anomaly Method (CAM) and Block Kriging. The new Temperature Anomaly series for China exhibits slightly warmer conditions for the period before 1950 than existing studies. All the methods applied so far agree well with each other for the period after 1950, when there are sufficient stations across the country for the estimation of Temperature Anomaly series. Cross validation shows that the new regional mean Temperature Anomaly series has smaller estimation error variance and higher accuracy than those based on the other methods assessed in this study.
