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ESMValTool 2.12.0 documentation - Home ESMValTool 2.12.0 documentation - Home
  • Introduction
  • ESMValTool Functionalities
  • Getting started
  • Gallery
  • Available recipes
    • Obtaining input data
    • Making a recipe or diagnostic
    • Contributing to the community
    • Utilities
    • Diagnostics API Reference
    • Frequently Asked Questions
    • Changelog
    • Getting started
    • Example notebooks
    • The recipe format
    • Diagnostic script interfaces
    • Development
    • Contributing
    • ESMValCore API Reference
    • Changelog
  • Introduction
  • ESMValTool Functionalities
  • Getting started
  • Gallery
  • Available recipes
  • Obtaining input data
  • Making a recipe or diagnostic
  • Contributing to the community
  • Utilities
  • Diagnostics API Reference
  • Frequently Asked Questions
  • Changelog
  • Getting started
  • Example notebooks
  • The recipe format
  • Diagnostic script interfaces
  • Development
  • Contributing
  • ESMValCore API Reference
  • Changelog

Section Navigation

  • Gallery

Gallery#

This section shows example plots produced by ESMValTool. For more information, click on the footnote below the image. A website displaying results produced with the latest release of ESMValTool for all available recipes can be accessed here.

recipe_albedolandcover

[1]

recipe_anav13jclim

[2]

recipe_aod_aeronet_assess

[3]

recipe_arctic_ocean

[4]

recipe_autoassess_landsurface_permafrost

[5]

recipe_autoassess_landsurface_soilmoisture

[6]

recipe_autoassess_landsurface_surfrad

[7]

recipe_autoassess_stratosphere

[8]

recipe_benchmarking

[9]

recipe_bock20jgr

[10]

recipe_bock24acp

[11]

recipe_capacity_factor

[12]

recipe_carvalhais14nat

[13]

recipe_climate_change_hotspot

[14]

recipe_climate_patterns

[15]

recipe_climwip

[16]

recipe_clouds

[17]

recipe_cmug_h2o

[18]

recipe_collins13ipcc

[19]

recipe_combined_indices

[20]

recipe_consecdrydays

[21]

recipe_cox18nature

[22]

recipe_crem

[23]

recipe_cvdp

[24]

recipe_deangelis15nat

[25]

recipe_diurnal_temperature_index

[26]

recipe_eady_growth_rate

[27]

recipe_ecs

[28]

recipe_emergent_constraints

[29]

recipe_ensclus

[30]

recipe_esacci_lst

[31]

recipe_esacci_oc

[32]

recipe_examples

[33]

recipe_extreme_events

[34]

recipe_extreme_index

[35]

recipe_eyring06jgr

[36]

recipe_eyring13jgr

[37]

recipe_galytska23jgr

[38]

recipe_gier20bg

[39]

recipe_heatwaves_coldwaves

[40]

recipe_hydro_forcing

[41]

recipe_hyint

[42]

recipe_iht_toa

[43]

recipe_impact

[44]

recipe_ipccwg1ar5ch9

[45]

recipe_ipccwg1ar6ch3

[46]

recipe_kcs

[47]

recipe_landcover

[48]

recipe_li17natcc

[49]

recipe_martin18grl

[50]

recipe_meehl20sciadv

[51]

recipe_miles

[52]

recipe_model_evaluation

[53]

recipe_modes_of_variability

[54]

recipe_monitor

[55]

recipe_mpqb_xch4

[56]

recipe_multimodel_products

[57]

recipe_oceans

[58]

recipe_perfmetrics

[59]

recipe_portrait

[60]

recipe_psyplot

[61]

recipe_pv_capacity_factor

[62]

recipe_quantilebias

[63]

recipe_radiation_budget

[64]

recipe_rainfarm

[65]

recipe_ref

[66]

recipe_runoff_et

[67]

recipe_russell18jgr

[68]

recipe_schlund20esd

[69]

recipe_schlund20jgr

[70]

recipe_sea_surface_salinity

[71]

recipe_seaborn

[72]

recipe_seaice

[73]

recipe_seaice_drift

[74]

recipe_seaice_feedback

[75]

recipe_shapeselect

[76]

recipe_smpi

[77]

recipe_snowalbedo

[78]

recipe_spei

[79]

recipe_tcr

[80]

recipe_tcre

[81]

recipe_tebaldi21esd

[82]

recipe_thermodyn_diagtool

[83]

recipe_toymodel

[84]

recipe_validation

[85]

recipe_wenzel14jgr

[86]

recipe_wenzel16jclim

[87]

recipe_wenzel16nat

[88]

recipe_zmnam

[89]

[1]

Landcover - Albedo

[2]

Land and ocean components of the global carbon cycle

[3]

AOD AeroNET Assess

[4]

Recipe for evaluating Arctic Ocean

[5]

Land-surface Permafrost - Autoassess diagnostics

[6]

Land-surface Soil Moisture - Autoassess diagnostics

[7]

Land-surface Surface Radiation - Autoassess diagnostics

[8]

Stratosphere - Autoassess diagnostics

[9]

Model Benchmarking

[10]

Quantifying progress across different CMIP phases

[11]

Cloud properties and their projected changes in CMIP models with low to high climate sensitivity

[12]

Capacity factor of wind power: Ratio of average estimated power to theoretical maximum power

[13]

Turnover time of carbon over land ecosystems

[14]

Climate Change Hotspot

[15]

Generating Climate Patterns from CMIP6 Models

[16]

Climate model Weighting by Independence and Performance (ClimWIP)

[17]

Clouds

[18]

Evaluate water vapor short wave radiance absorption schemes of ESMs with the observations, including ESACCI data.

[19]

IPCC AR5 Chapter 12 (selected figures)

[20]

Nino indices, North Atlantic Oscillation (NAO), Souther Oscillation Index (SOI)

[21]

Consecutive dry days

[22]

Emergent constraint on equilibrium climate sensitivity from global temperature variability

[23]

Cloud Regime Error Metric (CREM)

[24]

Climate Variability Diagnostics Package (CVDP)

[25]

Evaluate water vapor short wave radiance absorption schemes of ESMs with the observations.

[26]

Diurnal temperature range

[27]

Eady growth rate

[28]

Equilibrium climate sensitivity

[29]

Emergent constraints for equilibrium climate sensitivity

[30]

Ensemble Clustering - a cluster analysis tool for climate model simulations (EnsClus)

[31]

ESA CCI LST comparison to Historical Models

[32]

Ocean chlorophyll in ESMs compared to ESA-CCI observations.

[33]

Example recipes

[34]

Extreme Events Indices (ETCCDI)

[35]

Combined Climate Extreme Index

[36]

Diagnostics of stratospheric dynamics and chemistry

[37]

Ozone and associated climate impacts

[38]

Timeseries for Arctic-Midlatitude Teleconnections

[39]

Spatially resolved evaluation of ESMs with satellite column-averaged CO2

[40]

Heat wave and cold wave duration

[41]

Hydro forcing comparison

[42]

Hydroclimatic intensity and extremes (HyInt)

[43]

Implied heat transport from Top of Atmosphere fluxes

[44]

Quick insights for climate impact researchers

[45]

IPCC AR5 Chapter 9 (selected figures)

[46]

IPCC AR6 Chapter 3 (selected figures)

[47]

KNMI Climate Scenarios 2014

[48]

Landcover diagnostics

[49]

Constraining future Indian Summer Monsoon projections with the present-day precipitation over the tropical western Pacific

[50]

Drought characteristics following Martin (2018)

[51]

Context for interpreting equilibrium climate sensitivity and transient climate response from the CMIP6 Earth system models

[52]

Blocking metrics and indices, teleconnections and weather regimes (MiLES)

[53]

General model evaluation

[54]

Modes of variability

[55]

Monitor

[56]

Diagnostics of integrated atmospheric methane (XCH4)

[57]

Multi-model products

[58]

Ocean diagnostics

[59]

Performance metrics for essential climate parameters

[60]

Portrait plot

[61]

Psyplot Diagnostics

[62]

Capacity factor for solar photovoltaic (PV) systems

[63]

Precipitation quantile bias

[64]

Radiation Budget

[65]

RainFARM stochastic downscaling

[66]

CMIP Rapid Evaluation Framework (REF)

[67]

Runoff, Precipitation, Evapotranspiration

[68]

Ocean metrics

[69]

Emergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6?

[70]

Constraining uncertainty in projected gross primary production (GPP) with machine learning

[71]

Sea Surface Salinity Evaluation

[72]

Seaborn Diagnostics

[73]

Sea Ice

[74]

Seaice drift

[75]

Seaice feedback

[76]

Shapeselect

[77]

Single Model Performance Index (SMPI)

[78]

Emergent constraint on snow-albedo effect

[79]

Standardized Precipitation-Evapotranspiration Index (SPEI)

[80]

Transient Climate Response

[81]

Transient Climate Response to Cumulative CO2 Emissions (TCRE)

[82]

Climate model projections from the ScenarioMIP of CMIP6

[83]

Thermodynamics of the Climate System - The Diagnostic Tool TheDiaTo v1.0

[84]

Toymodel

[85]

Zonal and Meridional Means

[86]

Emergent constraints on carbon cycle feedbacks

[87]

Multiple ensemble diagnostic regression (MDER) for constraining future austral jet position

[88]

Projected land photosynthesis constrained by changes in the seasonal cycle of atmospheric CO2

[89]

Stratosphere-troposphere coupling and annular modes indices (ZMNAM)

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