The Diurnal Variation in Stratospheric Ozone from MACC Reanalysis, ERA-Interim, WACCM, and Earth Observation Data: Characteristics and Intercomparison
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Chemical Transport Modelling
Chemical Transport Modelling Beatriz M. Monge-Sanz and Martyn P. Chipperfield Institute for Atmospheric Science, School of Environment, University of Leeds, U.K. [email protected] 1. Introduction Nowadays, a large community of modellers use chemical transport models (CTMs) routinely to investigate the distribution and evolution of tracers in the atmosphere. Most CTMs use an ‘off-line’ approach, taking winds and temperatures from general circulation models (GCMs) or from meteorological analyses. The advantage of using analyses is that the CTM simulations are then linked to real meteorology and the results are directly comparable to observations. Reanalyses extend this advantage into the past, allowing us to perform long-term simulations that provide valuable information on the temporal evolution of the atmospheric composition and help understand the present and predict the future. CTMs therefore rely on the quality of the (re)analyses to obtain accurate tracers distributions. And, in its turn, this reliance makes CTMs be a powerful tool for the evaluation of the (re)analyses themselves. In this paper we discuss some of the main issues investigated by off-line CTMs and the requirements that these studies have for future (re)analyses. We also discuss tests performed by CTMs in order to evaluate the quality of the (re)analyses, to show in particular the recent improvements achieved in terms of stratospheric transport when the new ECMWF reanalysis winds are used for long-term simulations. 2. Past and present CTMs experiences with (re)analyses 2.1. Long-term ozone loss and stratospheric transport The ozone loss detected over the past 25 years has important implications, given the strong interactions between stratospheric ozone, UV radiation, circulation, tropospheric chemistry, human and natural activities. -
Evaluation of Global Observations-Based Evapotranspiration Datasets and IPCC AR4 Simulations B
Evaluation of global observations-based evapotranspiration datasets and IPCC AR4 simulations B. Mueller, S. Seneviratne, C. Jiménez, T. Corti, M. Hirschi, G. Balsamo, P. Ciais, P. Dirmeyer, J. Fisher, Z. Guo, et al. To cite this version: B. Mueller, S. Seneviratne, C. Jiménez, T. Corti, M. Hirschi, et al.. Evaluation of global observations- based evapotranspiration datasets and IPCC AR4 simulations. Geophysical Research Letters, Amer- ican Geophysical Union, 2011, 38 (6), pp.n/a-n/a. 10.1029/2010GL046230. hal-02929017 HAL Id: hal-02929017 https://hal.archives-ouvertes.fr/hal-02929017 Submitted on 28 Oct 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. GEOPHYSICAL RESEARCH LETTERS, VOL. 38, L06402, doi:10.1029/2010GL046230, 2011 Evaluation of global observations‐based evapotranspiration datasets and IPCC AR4 simulations B. Mueller,1 S. I. Seneviratne,1 C. Jimenez,2 T. Corti,1,3 M. Hirschi,1,4 G. Balsamo,5 P. Ciais,6 P. Dirmeyer,7 J. B. Fisher,8 Z. Guo,7 M. Jung,9 F. Maignan,6 M. F. McCabe,10 R. Reichle,11 M. Reichstein,9 M. Rodell,11 J. Sheffield,12 A. J. Teuling,1,13 K. -
Reanalyses As Predictability Tools
Reanalyses as predictability tools Kiyotoshi Takahashi, Yuhei Takaya and Shinya Kobayashi Japan Meteorological Agency (JMA) Tokyo, Japan [email protected] Abstract Reanalysis data have been used for research actively in meteorology, climatology and environmental studies. They are currently used in the operational climate monitoring and seasonal forecasting systems as well. Major advantage of reanalysis data is its homogeneity in time. Hindcast experiments based on homogeneous analyses give a measure of forecast predictability and predictable signals. In JMA, its own reanalysis (JRA-25) data have been widely used in works related to climate services as the fundamental data. Growing use of reanalysis data both in research and operational communities would enforce the feedbacks between them. JMA as an operational weather center will continue the reanalysis activity to support the climate and weather services. Recently JMA just has started the new project of reanalysis, JRA-55. The preliminary analysis of JRA-55 shows steady improvement in a field such as typhoon analysis. The better reanalysis product would be applied to assess the past weather disaster and used for disaster prevention in the future. 1. Introduction Reanalysis is to produce analysis data for the past long period by applying the fixed analysis procedures to maximally available observation data. Reanalysis is different from real-time operational analysis in operational weather forecast systems especially in data use and its quality control. Observational data used in reanalysis are composed of mainly three types: conventional data used for operational numerical weather prediction (NWP), delayed data which were not used operationally and data recovered or digitalized later. -
Facility for Weather and Climate Assessments (FACTS)
In Box Facility for Weather and Climate Assessments (FACTS) A Community Resource for Assessing Weather and Climate Variability Donald Murray, Andrew Hoell, Martin Hoerling, Judith Perlwitz, Xiao-Wei Quan, Dave Allured, Tao Zhang, Jon Eischeid, Catherine A. Smith, Joseph Barsugli, Jeff McWhirter, Chris Kreutzer, and Robert S. Webb ABSTRACT: The Facility for Weather and Climate Assessments (FACTS) developed at the NOAA Physical Sciences Laboratory is a freely available resource that provides the science commu- nity with analysis tools; multimodel, multiforcing climate model ensembles; and observational/ reanalysis datasets for addressing a wide class of problems on weather and climate variability and its causes. In this paper, an overview of the datasets, the visualization capabilities, and data dissemination techniques of FACTS is presented. In addition, two examples are given that show the use of the interactive analysis and visualization feature of FACTS to explore questions related to climate variability and trends. Furthermore, we provide examples from published studies that have used data downloaded from FACTS to illustrate the types of research that can be pursued with its unique collection of datasets. https://doi.org/10.1175/BAMS-D-19-0224.1 Corresponding author: Andrew Hoell, [email protected] In final form 18 April 2020 ©2020 American Meteorological Society For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy. AMERICAN METEOROLOGICAL SOCIETY Brought to you by -
Description and Evaluation of the Model for Ozone and Related Chemical Tracers, Version 4 (MOZART-4)
Geosci. Model Dev., 3, 43–67, 2010 www.geosci-model-dev.net/3/43/2010/ Geoscientific © Author(s) 2010. This work is distributed under Model Development the Creative Commons Attribution 3.0 License. Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4) L. K. Emmons1, S. Walters1, P. G. Hess1,*, J.-F. Lamarque1, G. G. Pfister1, D. Fillmore1,**, C. Granier2,3, A. Guenther1, D. Kinnison1, T. Laepple1,***, J. Orlando1, X. Tie1, G. Tyndall1, C. Wiedinmyer1, S. L. Baughcum4, and S. Kloster5,* 1National Center for Atmospheric Research, Boulder, CO, USA 2Centre National de la Recherche Scientifique, Paris, France 3NOAA, Earth System Research Laboratory, Boulder, CO, USA 4Boeing Company, Seattle, WA, USA 5Max-Planck-Institute for Meteorology, Hamburg, Germany *now at: Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA **now at: Tech-X Corporation, Boulder, CO, USA ***now at: Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany Received: 6 August 2009 – Published in Geosci. Model Dev. Discuss.: 27 August 2009 Revised: 7 December 2009 – Accepted: 8 December 2009 – Published: 12 January 2010 Abstract. The Model for Ozone and Related chemical Tra- teorological observations. MOZART is built on the frame- cers, version 4 (MOZART-4) is an offline global chemical work of the Model of Atmospheric Transport and Chemistry transport model particularly suited for studies of the tropo- (MATCH) (Rasch et al., 1997). Convective mass fluxes are sphere. The updates of the model from its previous version diagnosed by the model, using the shallow and mid-level MOZART-2 are described, including an expansion of the convective transport formulation of Hack (1994) and deep chemical mechanism to include more detailed hydrocarbon convection scheme of Zhang and MacFarlane (1995). -
Classifications of Winter Euro-Atlantic Circulation Patterns: An
1OCTOBER 2017 S T R Y H A L A N D H U T H 7847 Classifications of Winter Euro-Atlantic Circulation Patterns: An Intercomparison of Five Atmospheric Reanalyses JAN STRYHAL Department of Physical Geography and Geoecology, Faculty of Science, Charles University, Prague, Czech Republic RADAN HUTH Department of Physical Geography and Geoecology, Faculty of Science, Charles University, and Institute of Atmospheric Physics, Academy of Sciences of the Czech Republic, Prague, Czech Republic (Manuscript received 1 February 2017, in final form 19 June 2017) ABSTRACT Atmospheric reanalyses have been widely used to study large-scale atmospheric circulation and its links to local weather and to validate climate models. Only little effort has so far been made to compare reanalyses over the Euro-Atlantic domain, with the exception of a few studies analyzing North Atlantic cyclones. In particular, studies utilizing automated classifications of circulation patterns—one of the most popular methods in synoptic climatology—have paid little or no attention to the issue of reanalysis evaluation. Here, five reanalyses [ERA-40; NCEP-1; JRA-55; Twentieth Century Reanalysis, version 2 (20CRv2); and ECMWF twentieth-century reanalysis (ERA-20C)] are compared as to the frequency of occurrence of cir- culation types (CTs) over eight European domains in winters 1961–2000. Eight different classifications are used in parallel with the intention to eliminate possible artifacts of individual classification methods. This also helps document how substantial effect a choice of method can have if one quantifies differences between reanalyses. In general, ERA-40, NCEP-1, and JRA-55 exhibit a fairly small portion of days (under 8%) classified to different CTs if pairs of reanalyses are compared, with two exceptions: over Iceland, NCEP-1 shows disproportionately high frequencies of CTs with cyclones shifted south- and eastward; over the eastern Mediterranean region, ERA-40 and NCEP-1 disagree on classification of about 22% of days. -
DART/CAM: an Ensemble Data Assimilation System for CESM Atmospheric Models
6304 JOURNAL OF CLIMATE VOLUME 25 DART/CAM: An Ensemble Data Assimilation System for CESM Atmospheric Models KEVIN RAEDER,JEFFREY L. ANDERSON,NANCY COLLINS, AND TIMOTHY J. HOAR IMAGe, CISL, National Center for Atmospheric Research,* Boulder, Colorado JENNIFER E. KAY AND PETER H. LAURITZEN CGD, NESL, National Center for Atmospheric Research,* Boulder, Colorado ROBERT PINCUS University of Colorado, and NOAA/Earth System Research Laboratory, Boulder, Colorado (Manuscript received 14 July 2011, in final form 2 April 2012) ABSTRACT The Community Atmosphere Model (CAM) has been interfaced to the Data Assimilation Research Testbed (DART), a community facility for ensemble data assimilation. This provides a large set of data assimilation tools for climate model research and development. Aspects of the interface to the Community Earth System Model (CESM) software are discussed and a variety of applications are illustrated, ranging from model development to the production of long series of analyses. CAM output is compared directly to real observations from platforms ranging from radiosondes to global positioning system satellites. Such com- parisons use the temporally and spatially heterogeneous analysis error estimates available from the ensemble to provide very specific forecast quality evaluations. The ability to start forecasts from analyses, which were generated by CAM on its native grid and have no foreign model bias, contributed to the detection of a code error involving Arctic sea ice and cloud cover. The potential of parameter estimation is discussed. A CAM ensemble reanalysis has been generated for more than 15 yr. Atmospheric forcings from the reanalysis were required as input to generate an ocean ensemble reanalysis that provided initial conditions for decadal prediction experiments. -
NASA and National Reanalysis Program
Reanalysis: Data Assimilation for Scientific Investigation of Climate Richard B. Rood1 and Michael G. Bosilovich2 1University of Michigan, Ann Arbor, MI, USA, [email protected] 2NASA Goddard Space Flight Center, MD, USA, [email protected] 1 Introduction Reanalysis is the assimilation of long time series of observations with an unvarying assimilation system to produce datasets for a variety of applications; for example, climate variability, chemistry-transport, and process studies. Reanalyses were originally proposed for atmospheric observations as a method to generate “climate” datasets from “weather” observations. As the satellite records of chemical, land and oceanic parameters build with time, “reanalyses” are being developed for other types of observations. Coupled reanalyses, for example atmospheric-ocean reanalyses, are possible. In addition, very long reanalyses that use no satellite observations are being planned (e.g. Compo et al. 2006). Reanalysis datasets have become one of the most important datasets for scientific and application communities. As of July 2009, the Kalnay et al. (1996) paper, which describes one of the first reanalysis datasets, has more than 6600 recorded citations. In this chapter discussion will be drawn from the experience of atmospheric reanalysis, and the issues raised are relevant to all types of reanalysis. The provision of reanalyses was advocated by Bengtsson and Shukla (1988) and Trenberth and Olson (1988) in order to provide homogeneous datasets for climate applications and to encourage research in the use of satellite observations without the operational constraints of Numerical Weather Prediction. Trenberth and Olson (1988) calculated derived products, such as the Hadley circulation, from assimilation analyses used in operational weather forecasting. -
Assimila Blank
NERC NERC Strategy for Earth System Modelling: Technical Support Audit Report Version 1.1 December 2009 Contact Details Dr Zofia Stott Assimila Ltd 1 Earley Gate The University of Reading Reading, RG6 6AT Tel: +44 (0)118 966 0554 Mobile: +44 (0)7932 565822 email: [email protected] NERC STRATEGY FOR ESM – AUDIT REPORT VERSION1.1, DECEMBER 2009 Contents 1. BACKGROUND ....................................................................................................................... 4 1.1 Introduction .............................................................................................................. 4 1.2 Context .................................................................................................................... 4 1.3 Scope of the ESM audit ............................................................................................ 4 1.4 Methodology ............................................................................................................ 5 2. Scene setting ........................................................................................................................... 7 2.1 NERC Strategy......................................................................................................... 7 2.2 Definition of Earth system modelling ........................................................................ 8 2.3 Broad categories of activities supported by NERC ................................................. 10 2.4 Structure of the report ........................................................................................... -
How Well Do Stratospheric Reanalyses Reproduce High-Resolution Satellite Temperature Measurements?
Atmos. Chem. Phys., 18, 13703–13731, 2018 https://doi.org/10.5194/acp-18-13703-2018 © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License. How well do stratospheric reanalyses reproduce high-resolution satellite temperature measurements? Corwin J. Wright and Neil P. Hindley Centre for Space, Atmospheric and Oceanic Science, University of Bath, Bath, UK Correspondence: Corwin J. Wright ([email protected]) Received: 23 May 2018 – Discussion started: 20 June 2018 Revised: 25 August 2018 – Accepted: 12 September 2018 – Published: 27 September 2018 Abstract. Atmospheric reanalyses are data-assimilating full-input reanalyses (those which assimilate the full suite of weather models which are widely used as proxies for the true observations, i.e. excluding JRA-55C) are more tightly cor- state of the atmosphere in the recent past. This is particularly related with each other than with observations, even obser- the case for the stratosphere, where historical observations vations which they assimilate. This may suggest that these are sparse. But how realistic are these stratospheric reanaly- reanalyses are over-tuned to match their comparators. If so, ses? Here, we resample stratospheric temperature data from this could have significant implications for future reanalysis six modern reanalyses (CFSR, ERA-5, ERA-Interim, JRA- development. 55, JRA-55C and MERRA-2) to produce synthetic satellite observations, which we directly compare to retrieved satel- lite temperatures from COSMIC, HIRDLS and SABER and 1 Introduction to brightness temperatures from AIRS for the 10-year pe- riod of 2003–2012. We explicitly sample standard public- One of the most important tools in the atmospheric sci- release products in order to best assess their suitability for ences is the reanalysis. -
A Comprehensive Climate History of the Last 800 Thousand Years
This manuscript is a non-peer reviewed preprint submitted to EarthArXiv. 1 A comprehensive climate history of the last 800 thousand years 1 1 1,2 3 2 Mario Krapp* , Robert Beyer , Stephen L. Edmundson , Paul J. Valdes , and Andrea 1 3 Manica 1 4 University of Cambridge 2 5 Utrecht University 3 6 University of Bristol * 7 contact: [email protected] 8 Abstract 9 A detailed and accurate reconstruction of past climate is essential in understanding the drivers 10 that have shaped species, including our own, and their habitats. However, spatially-detailed climate 11 reconstructions that continuously cover the Quaternary do not yet exist, mainly because no paleocli- 12 mate model can reconstruct regional-scale dynamics over geological time scales. Here we develop a 13 new approach, the Global Climate Model Emulator (GCMET), which reconstructs the climate of the 14 last 800 thousand years with unprecedented spatial detail. GCMET captures the temporal dynamics 15 of glacial-interglacial climates as an Earth System Model of Intermediate Complexity would whilst 16 resolving the local dynamics with the accuracy of a Global Climate Model. It provides a new, unique 17 resource to explore the climate of the Quaternary, which we use to investigate the long-term stability 18 of major habitat types. We identify a number of stable pockets of habitat that have remained un- 19 changed over the last 800 thousand years, acting as potential long-term evolutionary refugia. Thus, 20 the highly detailed, comprehensive overview of climatic changes through time delivered by GCMET 21 provides the needed resolution to quantify the role of long term habitat fragmentation in an ecological 22 and anthropological context. -
Air Quality Modelling in the Summer Over the Eastern Mediterranean Using WRF-Chem: Chemistry and Aerosol Mechanism Intercomparison
Atmos. Chem. Phys., 18, 1555–1571, 2018 https://doi.org/10.5194/acp-18-1555-2018 © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License. Air quality modelling in the summer over the eastern Mediterranean using WRF-Chem: chemistry and aerosol mechanism intercomparison George K. Georgiou1, Theodoros Christoudias2, Yiannis Proestos1, Jonilda Kushta1, Panos Hadjinicolaou1, and Jos Lelieveld3,1 1Energy, Environment and Water Research Center, The Cyprus Institute, Nicosia, Cyprus 2Computation-based Science and Technology Research Centre (CaSToRC), The Cyprus Institute, Nicosia, Cyprus 3Atmospheric Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany Correspondence: Theodoros Christoudias ([email protected]) Received: 22 August 2017 – Discussion started: 19 September 2017 Revised: 14 December 2017 – Accepted: 24 December 2017 – Published: 2 February 2018 Abstract. We employ the WRF-Chem model to study sum- ozone precursors is not captured (hourly correlation coef- mertime air pollution, the intense photochemical activity and ficients for O3 ≤ 0.29). This might be attributed to the un- their impact on air quality over the eastern Mediterranean. derestimation of NOx concentrations by local emissions by We utilize three nested domains with horizontal resolutions up to 50 %. For the fine particulate matter (PM2:5), the low- of 80, 16 and 4 km, with the finest grid focusing on the island est mean bias (9 µg m−3) is obtained with the RADM2- of Cyprus, where the CYPHEX campaign took place in July MADE/SORGAM mechanism, with overestimates in sulfate 2014. Anthropogenic emissions are based on the EDGAR and ammonium aerosols. Overestimation of sulfate aerosols HTAP global emission inventory, while dust and biogenic by this mechanism may be linked to the SO2 oxidation emissions are calculated online.