Institution
Nanjing University of Information Science and Technology
Education•Nanjing, China•
About: Nanjing University of Information Science and Technology is a education organization based out in Nanjing, China. It is known for research contribution in the topics: Precipitation & Aerosol. The organization has 14129 authors who have published 17985 publications receiving 267578 citations. The organization is also known as: Nan Xin Da.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors compared mean annual and seasonal precipitation totals between gridded observations interpolated to a high resolution (0.5° × 0.6°) and multiple reanalysis type-datasets during 1979-2001.
Abstract: Precipitation is a critical component of the water balance, and hence its variability is critical for cryospheric and climate change in the Tibetan Plateau (TP). Mean annual and seasonal precipitation totals are compared between gridded observations interpolated to a high resolution (0.5° × 0.5°) and multiple reanalysis type-datasets during 1979–2001. The latter include two NCEP reanalyses (NCEP1 and NCEP2), two European Centre for Medium-Range Weather Forecasts (ECMWF) reanalyses (ERA-40 and ERA-Interim), three modern reanalyses [the twentieth century reanalysis (20century), MERRA and CFSR] and three merged analysis datasets (CMAP1, CMAP2 and GPCP). Observations show an increase in mean precipitation from the northwestern to the southeastern (SE) regions of the TP which are divided by an isohyet of 400 mm, and overall trends during the studied period are positive. Compared with observations, most of the datasets (NCEP1, NCEP2, CMAP1, CMAP2, ERA-Interim, ERA-40, GPCP, 20century, MERRA and CFSR) can both broadly capture the spatial distributions and identify temporal patterns and variabilities of mean precipitation. However, most multi-datasets overestimate precipitation especially in the SE where summer convection is dominant. There remain substantial disagreements and large discrepancies in precipitation trends due to differences in assimilation systems between datasets. Taylor diagrams are used to show the correlation coefficients, standard deviation, and root-mean-square difference of precipitation totals between interpolated observations and assimilated values on an annual and seasonal basis. Merged analysis data (CMAP1 and CMAP2) agree with observations more closely than reanalyses. Thus not all datasets are equally biased and choice of dataset is important.
142 citations
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TL;DR: In this paper, the authors used a long-term (1980-2016) aerosol dataset from the Modern-Era Retrospective Analysis for Research andApplications, version 2 (MERRA-2) reanalysis, along with two satellite-based AOD datasets (MODIS/Terra and MISR) from 2001 to 2016, to investigate the longterm trends in global and regional aerosol loading.
Abstract: . Aerosol optical depth (AOD) has become a crucial metric for assessing global
climate change. Although global and regional AOD trends have been studied
extensively, it remains unclear what factors are driving the inter-decadal
variations in regional AOD and how to quantify the relative contribution of
each dominant factor. This study used a long-term (1980–2016) aerosol
dataset from the Modern-Era Retrospective Analysis for Research and
Applications, version 2 (MERRA-2) reanalysis, along with two satellite-based
AOD datasets (MODIS/Terra and MISR) from 2001 to 2016, to investigate the
long-term trends in global and regional aerosol loading. Statistical models
based on emission factors and meteorological parameters were developed to
identify the main factors driving the inter-decadal changes of regional AOD
and to quantify their contribution. Evaluation of the MERRA-2 AOD with the
ground-based measurements of AERONET indicated significant spatial agreement
on the global scale ( r= 0.85, root-mean-square error = 0.12, mean fractional error = 38.7 %, fractional gross error = 9.86 % and index of agreement = 0.94). However, when AOD observations from the China
Aerosol Remote Sensing Network (CARSNET) were employed for independent
verification, the results showed that MERRA-2 AODs generally underestimated
CARSNET AODs in China (relative mean
bias = 0.72 and fractional gross error = - 34.3 %). In general,
MERRA-2 was able to quantitatively reproduce the annual and seasonal AOD
trends on both regional and global scales, as observed by MODIS/Terra,
although some differences were found when compared to MISR. Over the 37-year
period in this study, significant decreasing trends were observed over
Europe and the eastern United States. In contrast, eastern China and southern
Asia showed AOD increases, but the increasing trend of the former reversed
sharply in the most recent decade. The statistical analyses suggested that
the meteorological parameters explained a larger proportion of the AOD
variability (20.4 %–72.8 %) over almost all regions of interest (ROIs) during 1980–2014 when compared with emission factors (0 %–56 %). Further analysis also showed that SO2 was the dominant emission factor, explaining 12.7 %–32.6 % of the variation in AOD over anthropogenic-aerosol-dominant regions, while black carbon or organic carbon was the leading factor over the biomass-burning-dominant (BBD) regions, contributing 24.0 %–27.7 % of the variation. Additionally, wind speed was found to be the leading meteorological parameter, explaining 11.8 %–30.3 % of the variance over the mineral-dust-dominant regions, while ambient humidity (including soil moisture and relative humidity) was the top meteorological parameter over the BBD regions, accounting for 11.7 %–35.5 % of the variation. The results of this study indicate that the variation in meteorological parameters is a key factor in determining the inter-decadal change in regional AOD.
142 citations
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TL;DR: In this paper, the authors summarized recent observed changes of snow cover over the Tibetan Plateau (TP), including the relationship between the TP snow cover and that over Eurasia as a whole; recent climatology and spatial patterns; inter-annual variability and trends; as well as projected changes in snow cover.
141 citations
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National Taiwan University1, Tsinghua University2, Colorado State University3, Naval Postgraduate School4, National Oceanic and Atmospheric Administration5, Nanjing University of Information Science and Technology6, University of Maryland, College Park7, Chinese Academy of Sciences8, Peking University9, Nanjing University10
TL;DR: Wang et al. as mentioned in this paper proposed the Southern China Monsoon Rainfall Experiment (SCMREX) as a research and development project (RDP) of the World Weather Research Programme (WWRP).
Abstract: During the presummer rainy season (April–June), southern China often experiences frequent occurrences of extreme rainfall, leading to severe flooding and inundations. To expedite the efforts in improving the quantitative precipitation forecast (QPF) of the presummer rainy season rainfall, the China Meteorological Administration (CMA) initiated a nationally coordinated research project, namely, the Southern China Monsoon Rainfall Experiment (SCMREX) that was endorsed by the World Meteorological Organization (WMO) as a research and development project (RDP) of the World Weather Research Programme (WWRP). The SCMREX RDP (2013–18) consists of four major components: field campaign, database management, studies on physical mechanisms of heavy rainfall events, and convection-permitting numerical experiments including impact of data assimilation, evaluation/improvement of model physics, and ensemble prediction. The pilot field campaigns were carried out from early May to mid-June of 2013–15. This paper: i...
141 citations
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TL;DR: High-resolution atmospheric inverse analyses reveal that direct and indirect N2O emissions from the US Corn Belt are highly sensitive to perturbations in temperature and precipitation, and project a strong positive feedback to warmer and wetter conditions and unabated growth of regional N 2O emissions that will exceed 600 Gg N2 O-N⋅y−1, on average, by 2050.
Abstract: Nitrous oxide (N2O) has a global warming potential that is 300 times that of carbon dioxide on a 100-y timescale, and is of major importance for stratospheric ozone depletion. The climate sensitivity of N2O emissions is poorly known, which makes it difficult to project how changing fertilizer use and climate will impact radiative forcing and the ozone layer. Analysis of 6 y of hourly N2O mixing ratios from a very tall tower within the US Corn Belt-one of the most intensive agricultural regions of the world-combined with inverse modeling, shows large interannual variability in N2O emissions (316 Gg N2O-N⋅y-1 to 585 Gg N2O-N⋅y-1). This implies that the regional emission factor is highly sensitive to climate. In the warmest year and spring (2012) of the observational period, the emission factor was 7.5%, nearly double that of previous reports. Indirect emissions associated with runoff and leaching dominated the interannual variability of total emissions. Under current trends in climate and anthropogenic N use, we project a strong positive feedback to warmer and wetter conditions and unabated growth of regional N2O emissions that will exceed 600 Gg N2O-N⋅y-1, on average, by 2050. This increasing emission trend in the US Corn Belt may represent a harbinger of intensifying N2O emissions from other agricultural regions. Such feedbacks will pose a major challenge to the Paris Agreement, which requires large N2O emission mitigation efforts to achieve its goals.
141 citations
Authors
Showing all 14448 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ashok Kumar | 151 | 5654 | 164086 |
Lei Zhang | 135 | 2240 | 99365 |
Bin Wang | 126 | 2226 | 74364 |
Shuicheng Yan | 123 | 810 | 66192 |
Zeshui Xu | 113 | 752 | 48543 |
Xiaoming Li | 113 | 1932 | 72445 |
Qiang Yang | 112 | 1117 | 71540 |
Yan Zhang | 107 | 2410 | 57758 |
Fei Wang | 107 | 1824 | 53587 |
Yongfa Zhu | 105 | 355 | 33765 |
James C. McWilliams | 104 | 535 | 47577 |
Zhi-Hua Zhou | 102 | 626 | 52850 |
Tao Li | 102 | 2483 | 60947 |
Lei Liu | 98 | 2041 | 51163 |
Jian Feng Ma | 97 | 305 | 32310 |