大数据对人文—经济地理学研究的促进与局限   总被引：15，自引：7，他引：8  

杨振山  龙瀛  Nicolas DOUAY 《地理科学进展》2015,34(4):410-417

大数据技术的诞生不仅快速推动着社会的进步,而且也将科学研究不断引向新的高度。以人类社会经济活动为主要研究对象的人文—经济地理学与当前大数据建设和发展趋势具有高度一致性,大数据的发展对丰富和完善人文—经济地理学势必起到积极的推动作用,同时也对人文—经济地理学的学科思维和研究方法提出了新的挑战。梳理和分析了目前大数据在人文—经济地理学主要研究领域,包括城市内部空间研究、交通与消费行为、社会空间与社会网络研究中的最近进展,以及大数据对参与式研究和决策平台的作用。着重剖析了大数据对人文—经济地理学数据获取,研究思维与范式,研究内容、研究时空尺度与研究目标等方面的促进作用与存在问题,特别是由于大数据自身发展的不完善,在数据收集特别是数据属性方面还存在很大的局限,缺乏理论基础将会使得大数据与实际应用受到很大限制,同时,数据本身也不能替代研究者思维和决策过程。因此,人文—经济地理学者应该科学对待大数据所带来的机遇,弥补和丰富以往发展中的短板,即完善学科数据建设、建立大数据应用较为完善的研究方法体系,促进跨域数据整合和跨域研究,以及推进研究对象和研究目的的转变。  相似文献   

Benchmarks for multicomponent reactive transport across a cement/clay interface     

Nicolas C. M. Marty  Olivier Bildstein  Philippe Blanc  Francis Claret  Benoit Cochepin  Eric C. Gaucher  Diederik Jacques  Jean-Eric Lartigue  Sanheng Liu  K. Ulrich Mayer  Johannes C. L. Meeussen  Isabelle Munier  Ingmar Pointeau  Danyang Su  Carl I. Steefel 《Computational Geosciences》2015,19(3):635-653

  相似文献   

Evolution of a Late Oxfordian: early Kimmeridgian carbonate platform,French Jura Mountains     

Nicolas Olivier  Elsa Cariou  Pierre Hantzpergue 《Swiss Journal of Geoscience》2015,108(2-3):273-288

  相似文献   

Deciphering neotectonics from river profile analysis in the karst Jura Mountains (northern Alpine foreland)     

Mickael Rabin  Christian Sue  Pierre G. Valla  Jean-Daniel Champagnac  Nicolas Carry  Vincent Bichet  Urs Eichenberger  Jacques Mudry 《Swiss Journal of Geoscience》2015,108(2-3):401-424

  相似文献   

Downscaling large-scale climate variability using a regional climate model: the case of ENSO over Southern Africa   总被引：1，自引：1，他引：0  

Damien Boulard  Benjamin Pohl  Julien Crétat  Nicolas Vigaud  Thanh Pham-Xuan 《Climate Dynamics》2013,40(5-6):1141-1168

  相似文献   

Development and validation of a regional coupled atmosphere lake model for the Caspian Sea Basin     

Ufuk Utku Turuncoglu  Nellie Elguindi  Filippo Giorgi  Nicolas Fournier  Graziano Giuliani 《Climate Dynamics》2013,41(7-8):1731-1748

We present a validation analysis of a regional climate model coupled to a distributed one dimensional (1D) lake model for the Caspian Sea Basin. Two model grid spacings are tested, 50 and 20 km, the simulation period is 1989–2008 and the lateral boundary conditions are from the ERA-Interim reanalysis of observations. The model is validated against atmospheric as well as lake variables. The model performance in reproducing precipitation and temperature mean seasonal climatology, seasonal cycles and interannual variability is generally good, with the model results being mostly within the observational uncertainty range. The model appears to overestimate cloudiness and underestimate surface radiation, although a large observational uncertainty is found in these variables. The 1D distributed lake model (run at each grid point of the lake area) reproduces the observed lake-average sea surface temperature (SST), although differences compared to observations are found in the spatial structure of the SST, most likely as a result of the absence of 3 dimensional lake water circulations. The evolution of lake ice cover and near surface wind over the lake area is also reproduced by the model reasonably well. Improvements resulting from the increase of resolution from 50 to 20 km are most significant in the lake model. Overall the performance of the coupled regional climate—1D lake model system appears to be of sufficient quality for application to climate change scenario simulations over the Caspian Sea Basin.  相似文献   

Impact of the winter North-Atlantic weather regimes on subtropical sea-surface height variability     

Nicolas Barrier  Anne-Marie Treguier  Christophe Cassou  Julie Deshayes 《Climate Dynamics》2013,41(5-6):1159-1171

Interannual variability of subtropical sea-surface-height (SSH) anomalies, estimated by satellite and tide-gauge data, is investigated in relation to wintertime daily North-Atlantic weather regimes. Sea-level anomalies can be viewed as proxies for the subtropical gyre intensity because of the intrinsic baroclinic structure of the circulation. Our results show that the strongest correlation between SSH and weather regimes is found with the so-called Atlantic-Ridge (AR) while no significant values are obtained for the other regimes, including those related to the North Atlantic Oscillation (NAO), known as the primary actor of the Atlantic dynamics. Wintertime AR events are characterized by anticyclonic wind anomalies off Europe leading to a northward shift of the climatological wind-stress curl. The latter affects subtropical SSH annual variability by altered Sverdrup balance and ocean Rossby wave dynamics propagating westward from the African coast towards the Caribbean. The use of a simple linear planetary geostrophic model allows to quantify those effects and confirms the primary importance of the winter season to explain the largest part of SSH interannual variability in the Atlantic subtropical gyre. Our results open new perspectives in the comprehension of North-Atlantic Ocean variability emphasizing the role of AR as a driver of interannual variability at least of comparable importance to NAO.  相似文献   

Derivation of Structure Parameters of Temperature and Humidity in the Convective Boundary Layer from Large-Eddy Simulations and Implications for the Interpretation of Scintillometer Observations     

Björn Maronga  Arnold F. Moene  Daniëlle van Dinther  Siegfried Raasch  Fred C. Bosveld  Beniamino Gioli 《Boundary-Layer Meteorology》2013,148(1):1-30

We derive the turbulent structure parameters of temperature $C_{T}^2$ and humidity $C_q^2$ from high-resolution large-eddy simulations (LES) of a homogeneously-heated convective boundary layer. Boundary conditions and model forcing were derived from measurements at Cabauw in The Netherlands. Three different methods to obtain the structure-parameters from LES are investigated. The shape of the vertical structure-parameter profiles from all three methods compare well with former experimental and LES results. Depending on the method, deviations in the magnitude up to a factor of two are found and traced back to the effects of discretization and numerical dissipation of the advection scheme. Furthermore, we validate the LES data with airborne and large-aperture scintillometer (LAS) measurements at Cabauw. Virtual path measurements are used to study the variability of $C_{T}^2$ in the mixed layer and surface layer and its implications for airborne and LAS measurements. A high variability of $C_{T}^2$ along a given horizontal path in the LES data is associated with plumes (high values) and downdrafts (low values). The path average of $C_{T}^2$ varies rapidly in time due to the limited path length. The LES results suggest that measured path averages require sufficient temporal averaging and an adequate ratio of path length to height above the ground for the LAS in order to approach the domain average of $C_{T}^2$ .  相似文献   

Evolution of the Parisian urban climate under a global changing climate     

Aude Lemonsu  Raphaëlle Kounkou-Arnaud  Julien Desplat  Jean-Luc Salagnac  Valéry Masson 《Climatic change》2013,116(3-4):679-692

The evolution of the Parisian urban climate under a changing climate is analyzed from long-term offline numerical integrations including a specific urban parameterization. This system is forced by meteorological conditions based on present-climate reanalyses (1970–2007), and climate projections (2071–2099) provided by global climate model simulations following two emission scenarios (A1B and A2). This study aims at quantifying the impact of climate change on air temperature within the city and in the surroundings. A systematic increase of 2-meter air temperature is found. In average according to the two scenarios, it reaches +?2.0/2.4°C in winter and +?3.5/5.0°C in summer for the minimum and maximum daily temperatures, respectively. During summer, the warming trend is more pronounced in the surrounding countryside than in Paris and suburbs due to the soil dryness. As a result, a substantial decrease of the strong urban heat islands is noted at nighttime, and numerous events with negative urban heat islands appear at daytime. Finally, a 30% decrease of the heating degree days is quantified in winter between present and future climates. Inversely, the summertime cooling degree days significantly increase in future climate whereas they are negligible in present climate. However, in terms of accumulated degree days, the increase of the demand in cooling remains smaller than the decrease of the demand in heating.  相似文献   

The Indo-Australian monsoon and its relationship to ENSO and IOD in reanalysis data and the CMIP3/CMIP5 simulations     

Nicolas C. Jourdain  Alexander Sen Gupta  Andréa S. Taschetto  Caroline C. Ummenhofer  Aurel F. Moise  Karumuri Ashok 《Climate Dynamics》2013,41(11-12):3073-3102

A large spread exists in both Indian and Australian average monsoon rainfall and in their interannual variations diagnosed from various observational and reanalysis products. While the multi model mean monsoon rainfall from 59 models taking part in the Coupled Model Intercomparison Project (CMIP3 and CMIP5) fall within the observational uncertainty, considerable model spread exists. Rainfall seasonality is consistent across observations and reanalyses, but most CMIP models produce either a too peaked or a too flat seasonal cycle, with CMIP5 models generally performing better than CMIP3. Considering all North-Australia rainfall, most models reproduce the observed Australian monsoon-El Niño Southern Oscillation (ENSO) teleconnection, with the strength of the relationship dependent on the strength of the simulated ENSO. However, over the Maritime Continent, the simulated monsoon-ENSO connection is generally weaker than observed, depending on the ability of each model to realistically reproduce the ENSO signature in the Warm Pool region. A large part of this bias comes from the contribution of Papua, where moisture convergence seems to be particularly affected by this SST bias. The Indian summer monsoon-ENSO relationship is affected by overly persistent ENSO events in many CMIP models. Despite significant wind anomalies in the Indian Ocean related to Indian Ocean Dipole (IOD) events, the monsoon-IOD relationship remains relatively weak both in the observations and in the CMIP models. Based on model fidelity in reproducing realistic monsoon characteristics and ENSO teleconnections, we objectively select 12 “best” models to analyze projections in the rcp8.5 scenario. Eleven of these models are from the CMIP5 ensemble. In India and Australia, most of these models produce 5–20 % more monsoon rainfall over the second half of the twentieth century than during the late nineteenth century. By contrast, there is no clear model consensus over the Maritime Continent.  相似文献