scholarly journals An Intercomparison between ERA-Interim Reanalysis and Observed Precipitation in Northeast China

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Jie Zhou ◽  
Junhu Zhao
Keyword(s):  
Northeast China ◽  
Reanalysis Data ◽  
Observation Data ◽  
Precipitation Data ◽  
Temporal Characteristics ◽  
Weather Forecasts ◽  
Medium Range ◽  
Different Seasons ◽  
Autumn And Winter ◽  
Spatial And Temporal Characteristics

Recently, the European Center for Medium-Range Weather Forecasts (ECMWF) released a new set of reanalysis data—ERA-Interim. We make an intercomparison between ERA-Interim precipitation and observed precipitation in Northeast China. The results show that, in general, the ERA-Interim reanalysis precipitation data can describe the spatial and temporal characteristics of seasonal precipitation in Northeast China well. In terms of spatial distribution, ERA-Interim precipitation is generally consistent with the observation data in different seasons in Northeast China. There is a larger difference in the center of Northeast China than in other areas between the two kinds of data. The ERA-Interim precipitation is larger than observed precipitation in most of Northeast China. In spring, autumn, and winter, the ERA-Interim precipitation value is close to the observation one, while in summer there is a large difference in Liaoning Peninsula and Changbai Mountain between the two kinds of precipitation data. In terms of temporal characteristics, the time series of the ERA-Interim precipitation matches well with the observed precipitation in whole. In different seasons, the annual variation of the ERA-Interim precipitation is well correlated with that of the observed precipitation.

scholarly journals Estimating the Spatial Distribution of Precipitation in Iceland Using a Linear Model of Orographic Precipitation

2007 ◽  
Vol 8 (6) ◽  
pp. 1285-1306 ◽  
Author(s):  
Philippe Crochet ◽  
Tómas Jóhannesson ◽  
Trausti Jónsson ◽  
Oddur Sigurðsson ◽  
Helgi Björnsson ◽  
...  
Keyword(s):  
Linear Model ◽  
Reanalysis Data ◽  
Orographic Precipitation ◽  
Mountainous Terrain ◽  
Physical Processes ◽  
Weather Forecasts ◽  
Simulated Precipitation ◽  
Medium Range ◽  
Condensed Water ◽  
Good Agreement

Abstract A linear model of orographic precipitation that includes airflow dynamics, condensed water advection, and downslope evaporation is adapted for Iceland. The model is driven using coarse-resolution 40-yr reanalysis data from the European Centre for Medium-Range Weather Forecasts (ERA-40) over the period 1958–2002. The simulated precipitation is in good agreement with precipitation observations accumulated over various time scales, both in terms of magnitude and distribution. The results suggest that the model captures the main physical processes governing orographic generation of precipitation in the mountains of Iceland. The approach presented in this paper offers a credible method to obtain a detailed estimate of the distribution of precipitation in mountainous terrain for various conditions involving orographic generation of precipitation. It appears to be of great practical value to the hydrologists, glaciologists, meteorologists, and climatologists.

scholarly journals Spatial-Temporal Pattern Changes of UTCI in the China-Pakistan Economic Corridor in Recent 40 Years

Atmosphere ◽  
2020 ◽  
Vol 11 (8) ◽  
pp. 858
Author(s):  
Di Zeng ◽  
Jinkui Wu ◽  
Yaqiong Mu ◽  
Mingshan Deng ◽  
Yanqiang Wei ◽  
...  
Keyword(s):  
Thermal Environment ◽  
Linear Trend ◽  
Temporal Variations ◽  
Reanalysis Data ◽  
Climate Index ◽  
Positive Trend ◽  
Growth Trend ◽  
Weather Forecasts ◽  
European Centre ◽  
Medium Range

This paper investigated the spatial and temporal variations of the Universal Thermal Climate Index (UTCI) of the China-Pakistan Economic Corridor (CPEC) from 1979 to 2018. The European Centre for Medium-Range Weather Forecasts Re-Analysis-Interim (ERA-Interim) reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF) is selected for UTCI calculation in the region and analyzed by a linear trend and correlation analysis. The results showed that (1) the UTCI of CPEC is decreased with the increase of latitude and altitude. There is obvious spatial heterogeneity in the seasonal scale and the spatial distribution of different thermal stress categories. (2) UTCI generally exhibited a positive trend of 0.33 °C/10a over the past 40 years, and the seasonal variation characteristics of UTCI show an upward trend in all four seasons, of which spring is the fastest. On the space scale, the growth trend has significant spatial variations. (3) Temperature has a positive correlation with UTCI. The influence of temperature on UTCI is greater than that of wind speed. The results of this study will be helpful for regional planning and also contribute to comprehending the characteristics of the thermal environment in CPEC.

Spatial and temporal characteristics of droughts in the Northeast China Transect

2014 ◽  
Vol 76 (1) ◽  
pp. 601-614 ◽  
Author(s):  
Xiaoxue Wang ◽  
Huitao Shen ◽  
Wanjun Zhang ◽  
Jiansheng Cao ◽  
Yongqing Qi ◽  
...  
Keyword(s):  
Northeast China ◽  
Temporal Characteristics ◽  
Spatial And Temporal Characteristics

scholarly journals Evento de Precipitação Intensa Associado às Perturbações Ondulatórias dos Alísios Sobre o Estado de Alagoas.

2020 ◽  
Vol 13 (07) ◽  
pp. 3195
Author(s):  
Matheus José Arruda Lyra ◽  
Ismael Guidson Farias Freitas ◽  
Dimas De Barros Santiago
Keyword(s):  
Reanalysis Data ◽  
Wave Disturbance ◽  
Precipitation Event ◽  
Trade Winds ◽  
Climatological Data ◽  
Weather Forecasts ◽  
Global Era ◽  
Medium Range ◽  
Strong Convection ◽  
High Level

O estudo teve como objetivo analisar a forte convecção provocada por uma Perturbação Ondulatória dos Alísios (POA) sobre o estado de Alagoas no dia 27 de maio de 2017. A análise e previsão de sistemas dessa magnitude desperta interesse devido os fenômenos adversos provocados e consequências à população. Foram utilizados dados de reanálise global ERA Interim fornecidos pelo European Centre for Medium-Range Weather Forecasts (ECMWF) com resolução espacial de 0,75º de latitude x 0,75º de longitude. Estes dados foram utilizados no software OpenGrADS para plotagem dos campos meteorológicos para a análise sinótica. Os dados referentes à precipitação acumulada foram fornecidos pela Secretaria de Estado do Meio Ambiente e dos Recursos Hídricos (SEMARH) a partir de 25 estações meteorológicas espalhadas por Alagoas. A perturbação se desenvolveu após a passagem de um sistema frontal que atingiu o Nordeste do Brasil alguns dias antes. O sistema sinótico pôde ser observado no campo de pressão à nível do mar e através das linhas de correntes em baixos níveis (925 e 850hPa) entre os dias 26 e 27, onde o eixo do cavado se concentrou sobre o estado de Alagoas. Os campos do fluxo de umidade integrado na vertical indicaram valores bastante elevados provenientes do Atlântico, adentrando Alagoas entre os dias 25 e 27. Através da análise da série de dados climatológica, maio de 2017 registrou o terceiro maior pico de pluviometria (692mm/24h), onde somente no dia 27 foram registrados 173mm/24h, o que correspondeu à cerca de 25% da média histórica. Intense Precipitation Event Provoked by the Wave Disturbance of Trade Winds Over the Alagoas State A B S T R A C TThe main objective of this study was to analyze the Wave Disturbance of Trade Winds (WDTW) dynamics that provoked strong rainfall over the Alagoas state on May 27 of 2017. The analysis and systems forecasting of this magnitude arouses interest due to the adverse phenomena caused and consequences to the population. Global ERA Interim reanalysis data was provided by the European Center for Medium-Range Weather Forecasts (ECMWF) with spatial resolution of 0.75º latitude x 0.75º longitude. This dataset was used in conjunction with OpenGrADS software to the meteorological fields plot for synoptic analysis. Precipitation dataset were collected from 25 meteorological stations spread across the Alagoas state provided by the State Secretary for the Environment and Water Resources (SEMARH). The disturbance developed after a frontal system passage that reached BNE a few days earlier. The synoptic system could be observed in the pressure at sea level field and through the streamlines at low levels (925 and 850hPa) between 26 and 27 of May, where the Trough axis was concentrated over Alagoas. The strong convection was also driven by a high-level Trough, lasted from 30ºS. The vertical integrated moisture flow fields indicated very high values from the Atlantic Ocean, reaching Alagoas between 25th and 27 of May. Through the analysis of climatological data, in May 2017 was registered the third highest peak of rainfall (692 mm/24h), where only on the 27th 173 mm/24h was recorded, which corresponded to the fence 25% of the historical average.Keywords: WDTW; Adverse Phenomena, Alagoas.

scholarly journals Spatial and temporal characteristics of water resources in Argun River basin based on multi-source data

2015 ◽  
Vol 368 ◽  
pp. 385-390
Author(s):  
L. Hui ◽  
B. Baoligao ◽  
C. Xingru ◽  
W. Xiuying
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Temporal Distribution ◽  
Reanalysis Data ◽  
Distribution Analysis ◽  
Period Analysis ◽  
Temporal Characteristics ◽  
Environmental Prediction ◽  
And Coping ◽  
Spatial And Temporal Characteristics

Abstract. The wetlands of Argun River basin are important habitat for birds migrating between East Asia and Australia. Investigating spatial and temporal characteristics and evolution trends of water resources of this region is of significant importance for sustainable water management and coping with climate change. Using in-field data and NCEP (National Centers for Environmental Prediction) reanalysis data, the Mann-Kendall method and wavelet analysis method are applied to obtain the temporal characteristics. Spatial distribution analysis includes use of gridded data and data along the river. The results illustrate that water resources of upstream regions show descending trends, and the temporal distribution of the flow presents an “M” shape. Precipitation of this region has 10-year and 24-year scale primary periods. The period analysis is verified by the large flood in 2013, and forecasts that the next high flow year could be around 2021.

scholarly journals A Diagnostic Study of Waves on the Tropopause

2006 ◽  
Vol 63 (12) ◽  
pp. 3315-3332 ◽  
Author(s):  
Yoshihiro Tomikawa ◽  
Kaoru Sato ◽  
Theodore G. Shepherd
Keyword(s):  
Phase Velocity ◽  
Wave Theory ◽  
Finite Depth ◽  
Reanalysis Data ◽  
Edge Wave ◽  
Diagnostic Study ◽  
Weather Forecasts ◽  
Medium Range ◽  
The Vertical Distribution ◽  
Good Agreement

The spatial structure and phase velocity of tropopause disturbances localized around the subpolar jet in the Southern Hemisphere are investigated using 6-hourly European Centre for Medium-Range Weather Forecasts reanalysis data covering 15 yr (1979–93). The phase velocity and phase structure of the tropopause disturbances are in good agreement with those of an edge wave vertically trapped at the tropopause. However, the vertical distribution of the ratio of potential to kinetic energy exhibits maxima above and below the tropopause and a minimum around the tropopause, in contradiction to edge wave theory for which the ratio is unity throughout the troposphere and stratosphere. This difference in vertical structure between the observed tropopause disturbances and edge wave theory is attributed to the effects of a finite-depth tropopause together with the next-order corrections in Rossby number to quasigeostrophic dynamics.

scholarly journals Worldwide Survey of Awareness and Needs Concerning Reanalyses and Respondents Views on Climate Services

2016 ◽  
Vol 97 (8) ◽  
pp. 1461-1473 ◽  
Author(s):  
H. Gregow ◽  
K. Jylhä ◽  
H. M. Mäkelä ◽  
J. Aalto ◽  
T. Manninen ◽  
...  
Keyword(s):  
Online Survey ◽  
Reanalysis Data ◽  
Japan Meteorological Agency ◽  
Observation Data ◽  
Climate Services ◽  
Weather Forecasts ◽  
Data Policy ◽  
Earth Observation Data ◽  
Environmental Prediction ◽  
Agriculture And Food

Abstract A worldwide online survey about user awareness of reanalyses and climate services was conducted in the period from November 2013 to February 2014 by the Coordinating Earth Observation Data Validation for Re-Analysis for Climate Services (CORE-CLIMAX) project. The 2,578 respondents were mostly users of global reanalyses [particularly the European Centre for Medium-Range Weather Forecasts (ECMWF), National Centers for Environmental Prediction (NCEP), National Aeronautics and Space Administration (NASA), and Japan Meteorological Agency (JMA) reanalyses]. They answered queries arranged in 11 sections by choosing from preprepared check-box responses and left several hundred free comments. Here, we analyze responses related to characteristics of reanalysis data and the perceived obstacles for using reanalysis in climate services. After examining responses from all survey participants, we focus on the answers from subgroups working in specific disciplines related to natural resource management: freshwater, agriculture and food production, forestry, and energy. Although the survey attracted mostly self-selected respondents from the education and public research and development (R&D) sectors, one-third of the energy-related subgroup were from the private sector. A large majority (91%) of the respondents use ECMWF reanalyses, but other reanalysis products are also widely used by them. Respondents expressed desire for reanalysis development in the areas of 1) training and online plotting tools, 2) more frequent updates, 3) explanations about uncertainties (the energy subgroup emphasizes this), 4) smaller biases, 5) less restrictive data policy, and 6) higher temporal and spatial resolution (the energy and water subgroups highlight this). Additionally, the subgroups (excluding energy) expressed interest in including in future climate services activities for applied weather and climate research for impact assessment and/or statistical impact analyses for improving weather warnings and their criteria.

scholarly journals Spatial and temporal characteristics of drought and its correlation with climate indices in Northeast China

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259774
Author(s):  
Yuan Yue ◽  
HaiFeng Liu ◽  
XiuXiang Mu ◽  
MengSheng Qin ◽  
TingTing Wang ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Northeast China ◽  
Large Scale ◽  
Arctic Oscillation ◽  
Southern Oscillation ◽  
The Arctic ◽  
Temporal Characteristics ◽  
Climate Patterns ◽  
Cross Wavelet ◽  
Spatial And Temporal Characteristics

The spatial and temporal characteristics of drought in Northeast China are investigated, using monthly meteorological data from 140 stations over the period 1970–2014. The study area was divided into three regions using hierarchical cluster analysis based on the precipitation and potential evapotranspiration data. The standardized precipitation evapotranspiration index (SPEI) was calculated for each station on 3-month and 12-month time scales. The Mann-Kendall (MK) trend test and Sen’s slope method were applied to determine the trends for annual and seasonal SPEI time series. Periodic features of drought conditions in each sub-region and possible relationship with large-scale climate patterns were respectively identified using the continuous wavelet transform (CWT) and cross wavelet transform. The results show mitigations in spring and winter droughts and a significant increasing trend in autumn drought. On the annual scale, droughts became more severe and more intense in the western regions but were mitigated in the eastern region. CWT analysis showed that droughts in Northeast China occur predominantly in 14- to 42-month or 15- to 60-month cycles. Annual and seasonal droughts have 2- to 6-year cycles over the three defined regions. Cross wavelet analysis also shows that the statistically significant influence of large-scale climate patterns (the Southern Oscillation, the Atlantic Multidecadal Oscillation, the Arctic Oscillation, and the Polar–Eurasian Pattern) on drought in Northeast China is concentrated in a 16- to 50-month period, possibly causing drought variability in the different regions. The Southern Oscillation, Polar–Eurasia pattern, and Arctic Oscillation are significantly correlated with drought on decadal scales (around 120-month period). The findings of this study will provide valuable reference for regional drought mitigation and drought prediction.

scholarly journals HOAPS and ERA-Interim precipitation over sea: Validation against shipboard in-situ measurements

2016 ◽  
Author(s):  
Karl Bumke ◽  
Gert König-Langlo ◽  
Julian Kinzel ◽  
Marc Schröder
Keyword(s):  
Reanalysis Data ◽  
Data Sets ◽  
Weather Forecasts ◽  
Rain Gauges ◽  
Medium Range ◽  
Temporal And Spatial ◽  
The Tropics ◽  
Along Track ◽  
Spatial Threshold

Abstract. The satellite derived HOAPS (Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite data) and ECMWF (European Centre for Medium-Range Weather Forecasts) ERA-Interim reanalysis data sets have been validated against in-situ precipitation measurements from ship rain gauges and optical disdrometers over the open-ocean by applying a statistical analysis for binary forecasts. For this purpose collocated pairs of data were merged within a certain temporal and spatial threshold into single events, according to the satellites' overpass, the observation and the forecast times. HOAPS detects the frequency of precipitation well, while ERA-Interim strongly overestimates it, especially in the tropics and subtropics. Although precipitation rates are difficult to compare because along-track point measurements are collocated with areal estimates and the numbers of available data are limited, we find that HOAPS underestimates precipitation rates, while ERA-Interim's Atlantic-wide average precipitation rate is close to measurements. However, regionally averaged over latitudinal belts, there are deviations between the observed mean precipitation rates and ERA-Interim. The most obvious ERA-Interim feature is an overestimation of precipitation in the area of the intertropical convergence zone and the southern sub-tropics over the Atlantic Ocean. For a limited number of snow measurements by optical disdrometers it can be concluded that both HOAPS and ERA-Interim are suitable to detect the occurrence of solid precipitation.

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