A new estimate of the China temperature anomaly series and uncertainty assessment in 1900–2006Journal of Geophysical Research D: Atmospheres - Tập 119 Số 1 - Trang 1-9 - 2014
Jinfeng Wang, Chengdong Xu, Maogui Hu, Qinxiang Li, Zhongwei Yan, Ping Zhao, Phil Jones
AbstractWhile global warming during the last century has been well recognized,
the magnitude of the climate warming in regions such as China over the past
100 years still has some uncertainty due to limited observations during the
early years. Several series of temperature anomalies for the 20thcentury in
China have been independently developed by different groups. The uncertainty
arises mainly fr... hiện toàn bộ
Theoretical and empirical scale dependency of Z‐R relationships: Evidence, impacts, and correctionJournal of Geophysical Research D: Atmospheres - Tập 118 Số 14 - Trang 7435-7449 - 2013
Sébastien Verrier, Laurent Barthès, Cécile Mallet
AbstractEstimation of rainfall intensities from radar measurements relies to a
large extent on power‐laws relationships between rain rates R and radar
reflectivities Z, i.e., Z = a*R^b. These relationships are generally applied
unawarely of the scale, which is questionable since the nonlinearity of these
relations could lead to undesirable discrepancies when combined with scale
aggregation. Since ... hiện toàn bộ
GCMs‐based spatiotemporal evolution of climate extremes during the 21st century in ChinaJournal of Geophysical Research D: Atmospheres - Tập 118 Số 19 - 2013
Jianfeng Li, Qiang Zhang, Yongqin David Chen, Vijay P. Singh
AbstractChanges in the hydrological cycle being caused by human‐induced global
warming are triggering variations in observed spatiotemporal distributions of
precipitation and temperature extremes, and hence in droughts and floods across
China. Evaluation of future climate extremes based on General Circulation Models
(GCMs) outputs will be of great importance in scientific management of water
resou... hiện toàn bộ
Tropical Cyclonic Rainfall in China: Changing Properties, Seasonality, and CausesJournal of Geophysical Research D: Atmospheres - Tập 123 Số 9 - Trang 4476-4489 - 2018
Qiang Zhang, Yangchen Lai, Xihui Gu, Peijun Shi, Vijay P. Singh
AbstractUsing daily rainfall data from 1936 stations across China, this study
investigated tropical cyclonic rainfall (TCR) changes during 1960–2014. The
possible reasons behind TCR changes were examined using tracks and frequency of
tropical cyclones (TCs) in both space and time. The highest annual TCR occur in
coastal regions of east and southeast China (>500 mm/year). At monthly scale,
August T... hiện toàn bộ
Estimating global black carbon emissions using a top‐down Kalman Filter approachJournal of Geophysical Research D: Atmospheres - Tập 119 Số 1 - Trang 307-323 - 2014
Jason Blake Cohen, Chien Wang
AbstractBlack carbon (BC) is an important aerosol constituent in the atmosphere
and climate forcer. A good understanding of the radiative forcing of BC and
associated climate feedback and response is critical to minimize the uncertainty
in predicting current and future climate influenced by anthropogenic aerosols.
One reason for this uncertainty is that current emission inventories of BC are
mostl... hiện toàn bộ
CO Emissions Inferred From Surface CO Observations Over China in December 2013 and 2017Journal of Geophysical Research D: Atmospheres - Tập 125 Số 7 - 2020
Shuzhuang Feng, Fei Jiang, Zheng Wu, Hengmao Wang, Weimin Ju, Haikun Wang
AbstractChina has implemented active clean air policies in recent years, and the
spatiotemporal patterns of major pollutant emissions have changed substantially.
In this study, we construct a regional air pollution data assimilation system
based on the WRF/CMAQ model and ensemble Kalman filter algorithm to
quantitatively optimize gridded CO emissions using hourly surface CO
measurements over China... hiện toàn bộ
Impact of inherent meteorology uncertainty on air quality model predictionsJournal of Geophysical Research D: Atmospheres - Tập 120 Số 23 - 2015
Robert C. Gilliam, Christian Hogrefe, James M. Godowitch, Sergey L. Napelenok, Rohit Mathur, S. Trivikrama Rao
AbstractIt is well established that there are a number of different
classifications and sources of uncertainties in environmental modeling systems.
Air quality models rely on two key inputs, namely, meteorology and emissions.
When using air quality models for decision making, it is important to understand
how uncertainties in these inputs affect the simulated concentrations. Ensembles
are one meth... hiện toàn bộ
Time Series Forecasting of Air Quality Based On Regional Numerical Modeling in Hong KongJournal of Geophysical Research D: Atmospheres - Tập 123 Số 8 - Trang 4175-4196 - 2018
Tong Liu, Alexis K.H. Lau, Kai Sandbrink, Jimmy Chi Hung Fung
AbstractBased on prevailing numerical forecasting models (Community Multiscale
Air Quality [CMAQ] model , Comprehensive Air Quality Model with Extensions, and
Nested Air Quality Prediction Modeling System) and observations from monitoring
stations in Hong Kong, we employ a set of autoregressive integrated moving
average (ARIMA) models with numerical forecasts (ARIMAX) to improve the forecast
of ai... hiện toàn bộ
Future Changes of Wind Speed and Wind Energy Potentials in EURO‐CORDEX Ensemble SimulationsJournal of Geophysical Research D: Atmospheres - Tập 123 Số 12 - Trang 6373-6389 - 2018
Julia Moemken, Mark Reyers, Hendrik Feldmann, Joaquim G. Pinto
AbstractRenewable energy production is strongly influenced by weather and
climate. Regional climate projections can be useful to quantify climate change
impacts on renewable energies. With this aim, we analyze future changes of wind
speed and wind energy potentials using a multimodel ensemble of EURO‐CORDEX
simulations at 12 km and three‐hourly resolution, considering nine different
global and reg... hiện toàn bộ
Using an explicit emission tagging method in global modeling of source‐receptor relationships for black carbon in the Arctic: Variations, sources, and transport pathwaysJournal of Geophysical Research D: Atmospheres - Tập 119 Số 22 - 2014
Hailong Wang, Philip J. Rasch, R. C. Easter, Balwinder Singh, Rudong Zhang, Po‐Lun Ma, Yun Qian, S. J. Ghan, Nathaniel Beagley
AbstractWe introduce an explicit emission tagging technique in the Community
Atmosphere Model to quantify source‐region‐resolved characteristics of black
carbon (BC), focusing on the Arctic. Explicit tagging of BC source regions
without perturbing the emissions provides a physically consistent and
computationally efficient approach to establish source‐receptor relationships
and transport pathways.... hiện toàn bộ