The International Financial Statistics database covers about 200 countries and areas, with some aggregates calculated for selected regions, plus some world totals. Topics covered include balance of payments, commodity prices, exchange rates, fund position, government finance, industrial production, interest rates, international investment position, international liquidity, international transactions, labor statistics, money and banking, national accounts, population, prices, and real effective exchange rates.

The International Financial Statistics is based on various IMF data collections. It includes exchange rates series for all Fund member countries plus Anguilla, Aruba, China, P.R.: Hong Kong, China, P.R.: Macao, Montserrat, and the Netherlands Antilles. It also includes major Fund accounts series, real effective exchange rates, and other world, area, and country series. Data are available for most IMF member countries with some aggregates calculated for select regions, plus some world totals.

This data set contains the 0.1 degree resolution output from the ECMWF IFS (European Centre for Medium-Range Weather Forecasts Integrated Forecasting System) model during the SOCRATES field phase. Grids include analysis and forecast time steps at a three hourly interval to 48 hours and at six hour intervals to 120 hours. The ECMWF runs are available at 00 and 12 UTC daily. At 06 and 18 UTC just the analysis grids are included. These data are in GRIB format.

Taiwan BoP: IFS: CA: Debit data was reported at 4.000 USD mn in Sep 2018. This records a decrease from the previous number of 6.000 USD mn for Jun 2018. Taiwan BoP: IFS: CA: Debit data is updated quarterly, averaging 5.000 USD mn from Mar 1997 (Median) to Sep 2018, with 87 observations. The data reached an all-time high of 254.000 USD mn in Mar 2008 and a record low of 0.000 USD mn in Dec 2000. Taiwan BoP: IFS: CA: Debit data remains active status in CEIC and is reported by Central Bank of the Republic of China. The data is categorized under Global Database’s Taiwan – Table TW.JB009: Balance of Payments: IFS Format.

ECMWF has implemented a significant resolution upgrade and methodology for high-resolution forecasts (HRES) and ensemble forecasts (ENS) beginning January of 2016. HRES is now performed via a transform grid with a nominal grid point spacing of 9 kilometers (0.08 degrees), and is carried out with IFS (Integrated Forecast System). Improvements in computational efficiency and effective resolution have been brought about by implementing a triangular cubic octahedral reduced Gaussian grid in which the shortest spatial wavelength is represented by at least four grid points anywhere on the globe, as opposed to the former linear arrangement whereby the shortest wavelength was represented by two grid points, while at the same time retaining the same number of spherical harmonics and triangular truncation. (The term "cubic" is due to the ability of the grid to represent cubic products in the dynamical equations.) In addition, the reduction of grid points along latitude circles as one approaches the poles is achieved using a triangular to octahedral mapping which corresponds to a poleward reduction of four points per latitude circle and an optimization of the total number of grid points and their local mesh resolution. ECMWF has documented superior filtering properties at higher resolution, an improved representation of orography, improved global mass conservation properties, substantial efficiency gains, and more scalable locally compact computations of derivatives and other properties that depend on nearest-neighbor information only. More details may be found in the publications cited below.

NCAR's DECS is performing and supplying a grid transformed version of HRES IFS, in which variables originally represented as spectral coefficients or archived on a reduced Gaussian grid are transformed to a regular 5120 longitude by 2560 latitude N1280 Gaussian grid. In addition, DECS is also computing horizontal winds (u-component, v-component) from spectral vorticity and divergence where these are available.

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Abstract (en): Detailed tabulations of international and domestic finance data are presented in this data collection. These time series data summarize each country's balance of payments, with collateral data on major financial components such as trade and reserves, and data on exchange rates, international liquidity, money and banking, international transactions, prices, production, government finance, and interest rates. A subset of these data, containing annual data from 1948 to 1978, is available as well. 196 countries and geographical areas. (1)The International Monetary Fund (IMF) has notified ICPSR that it will not renew ICPSR's INTERNATIONAL FINANCIAL STATISTICS (IFS) (ICPSR 7629) monthly tape subscription effective November 1, 1991. This action coincides with IMF's decision to begin distributing this series to individuals on CD-ROM. As a result ICPSR will not be able to update these data on a monthly basis. The IFS data for the 1948 through July, 1991 period will continue to be available from ICPSR\; this is the last version of the data received under our former subscription. Efforts will continue to renew the monthly subscription with IMF and users will be notified when such efforts are successful. (2) The data are stored in packed zoned decimal format. A COBOL processing program is available for use with this dataset. (3) Each time series can contain a variable number of logical records. The exact number of records in any time series in this collection is dependent upon the availability of annual, quarterly, and monthly data. Approximately 23,000 time series are included in the collection. (4) The term "country," as used in this dataset, does not in all cases refer to a territorial entity which is a state as understood by international law and practice. The term also covers some territorial entities that are not states but for which statistical data are maintained and provided internationally on a separate and independent basis. (5) Exchange rates are expressed in United States dollars per national currency unit or vice versa, and two rates are given for the special drawing right (SDR) value of the national currency unit. (6) One codebook now documents these four IMF studies: DIRECTION OF TRADE (ICPSR 7628), INTERNATIONAL FINANCIAL STATISTICS (ICPSR 7629), BALANCE OF PAYMENTS STATISTICS (ICPSR 8623), and GOVERNMENT FINANCE STATISTICS (ICPSR 8624). (7) The codebook is provided by ICPSR as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.

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Taiwan BoP: IFS: CA: Credit data was reported at 11.000 USD mn in Sep 2018. This records an increase from the previous number of 3.000 USD mn for Jun 2018. Taiwan BoP: IFS: CA: Credit data is updated quarterly, averaging 0.000 USD mn from Mar 1997 (Median) to Sep 2018, with 87 observations. The data reached an all-time high of 49.000 USD mn in Jun 2013 and a record low of 0.000 USD mn in Sep 2012. Taiwan BoP: IFS: CA: Credit data remains active status in CEIC and is reported by Central Bank of the Republic of China. The data is categorized under Global Database’s Taiwan – Table TW.JB009: Balance of Payments: IFS Format.

This dataset contains model data for SNAPSI experiment 'nudged-full' produced by scientists at ECMWF (European Centre for Medium-Range Weather Forecasts, United Kingdom). This dataset contains all ensemble members by the ECMWF IFS model.

The SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.

The nudged-full experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, stratospheric temperatures and horizontal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.

Sources of additional information

The following web links are provided in the Details/Docs section of this catalogue record: - Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts - New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) - ECMWF IFS model reference publication

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This dataset presents a 31-year IFS-FESOM coupled climate model simulation using constant 1950 radiative forcing, based on CMIP6 standards. It is part of the official coupled spin-up for EERIE phase 1 simulation and reaches a steady state after the first 10 years. The simulation features high-resolution grids: approximately 9 km for the atmospheric component (IFS) and 5 km for the ocean component (FESOM). The atmospheric component uses ECMWF IFS cycle 48R1, while the ocean model employs FESOM2.5 with an NG5 grid comprising about 7.5 million surface nodes. The dataset includes high-priority variables in both native high-resolution grids and interpolated to a 0.25-degree regular grid. Vertically, the atmosphere is resolved with 137 levels (output provided at 23 pressure levels), and the ocean with 70 depth levels. Prior to the main simulation, the ocean model underwent a 5-year stand-alone spin-up using EN4 boundary conditions. This high-resolution simulation effectively resolves mesoscale eddies in midlatitude oceans and simulates tropical instability waves, with a potential to offer insights on their role in our climate system. The EERIE version identifier for this dataset is v20240304.

Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets. These data include all datasets published for 'CMIP6.HighResMIP.ECMWF.ECMWF-IFS-HR' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.

The ECMWF-IFS-HR (25 km atmosphere and 25 km ocean) climate model, released in 2017, includes the following components: atmos: IFS (IFS CY43R1, Tco399, cubic octahedral reduced Gaussian grid equivalent to 1600 x 800 longitude/latitude; 91 levels; top level 0.01 hPa), land: HTESSEL (as implemented in IFS CY43R1), ocean: NEMO3.4 (NEMO v3.4; ORCA025 tripolar grid; 1442 x 1021 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: LIM2 (LIM v2; ORCA025 tripolar grid; 1442 x 1021 longitude/latitude). The model was run by the European Centre for Medium-Range Weather Forecasts, Reading RG2 9AX, UK (ECMWF) in native nominal resolutions: atmos: 25 km, land: 25 km, ocean: 25 km, seaIce: 25 km.

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.

This dataset contains model data for SNAPSI experiment 'free' produced by scientists at ECMWF (European Centre for Medium-Range Weather Forecasts, United Kingdom). This dataset contains all ensemble members by the ECMWF IFS model.

The SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.

The free experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.

Sources of additional information

The following web links are provided in the Details/Docs section of this catalogue record: - Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts - New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) - ECMWF IFS model reference publication

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