SPEEDY Physics Package

Overview

The SPEEDY (Simplified Parameterizations, primitivE-Equation DYnamics) physics package provides intermediate-complexity atmospheric parameterizations suitable for climate modeling and machine learning applications. SPEEDY was originally developed by Franco Molteni at ICTP and has been widely used for studying atmospheric dynamics and climate variability.

JAX-GCM’s implementation is a pure JAX translation that maintains the physical fidelity of SPEEDY while adding full differentiability and GPU/TPU acceleration.

Key Characteristics

  • Computational Efficiency: Simplified physics allows for fast simulations

  • Physical Realism: Captures essential atmospheric processes despite simplifications

  • Vertical Resolution: Designed for 8 vertical levels (can work with other configurations)

  • Time-Varying Forcing: Supports daily climatological or constant boundary conditions

  • Differentiability: Fully compatible with JAX automatic differentiation

Physics Parameterizations

The SPEEDY physics package includes the following components, executed in sequence:

  1. Convection (Simplified Tiedtke Scheme)

  2. Large-Scale Condensation

  3. Cloud Diagnostics

  4. Shortwave Radiation

  5. Longwave Radiation

  6. Surface Fluxes

  7. Vertical Diffusion

Each parameterization is described in detail below.

Convection

Type: Simplified mass-flux scheme based on Tiedtke (1993)

Description: Represents subgrid-scale moist convection using a bulk mass-flux approach. The scheme diagnoses convectively unstable grid boxes where saturation moist static energy decreases with height.

Key Features:

  • Primary and secondary mass fluxes

  • Entrainment and detrainment

  • Convective precipitation

  • Temperature and moisture tendencies

Activation Criteria:

Convection activates when:

  1. Conditional instability exists (saturation moist static energy decreases upward)

  2. Either:

    • Actual convective instability (moist static energy decreases upward), OR

    • Relative humidity exceeds threshold in boundary layer

Configurable Parameters (ConvectionParameters):

Parameter

Description

Default

psmin

Minimum surface pressure for convection

0.8

trcnv

Relaxation time toward reference state (hours)

6.0

rhil

RH threshold for secondary mass flux

0.7

rhbl

RH threshold in boundary layer

0.9

entmax

Maximum entrainment fraction

0.5

smf

Secondary to primary mass flux ratio

0.8

Large-Scale Condensation

Description: Represents stratiform precipitation and clouds through a relaxation scheme toward saturated conditions when relative humidity exceeds a threshold.

Process:

  1. Check if relative humidity exceeds threshold

  2. Relax specific humidity toward saturation

  3. Convert excess moisture to precipitation

  4. Release latent heat

Vertical Variation: RH threshold varies from rhlsc at the surface to rhlsc + drhlsc at model top, ensuring more precipitation in upper levels.

Configurable Parameters (CondensationParameters):

Parameter

Description

Default

trlsc

Relaxation time for specific humidity (hours)

4.0

rhlsc

Maximum RH threshold at surface

0.9

drhlsc

Vertical range of RH threshold

0.1

rhblsc

RH threshold for boundary layer

0.95

Clouds

Description: Diagnostic cloud cover based on relative humidity and precipitation. Two types of clouds are diagnosed:

Convective Clouds:

  • Based on relative humidity

  • Weight applied to square root of precipitation

  • Cloud cover increases with RH and precipitation

Stratiform Clouds:

  • Additional component based on static stability

  • Diagnosed from vertical gradient of dry static energy

  • Higher over land (minimum cover clsminl)

Cloud Top: Determined as the highest level with significant cloud cover.

Configurable Parameters (in ShortwaveRadiationParameters):

Parameter

Description

Default

rhcl1

RH for zero cloud cover

0.30

rhcl2

RH for full cloud cover

1.00

qacl

Specific humidity threshold

0.20

wpcl

Precipitation weight (mm/day)⁻⁰·⁵

0.2

pmaxcl

Maximum precipitation contribution (mm/day)

10.0

clsmax

Maximum stratiform cloud cover

0.60

clsminl

Minimum stratiform cover over land

0.15

Shortwave Radiation

Description: Two-band shortwave radiation scheme (visible and near-IR) with explicit treatment of:

  • Rayleigh scattering

  • Water vapor absorption

  • Cloud albedo and absorption

  • Aerosol absorption

  • Surface albedo (land, ocean, ice, snow)

Process:

  1. Compute solar zenith angle and TOA insolation

  2. Calculate atmospheric absorption by water vapor and aerosols

  3. Account for cloud reflection and absorption

  4. Compute surface albedo (varies by surface type)

  5. Calculate multiple reflections between surface and clouds

  6. Distribute absorbed radiation to atmospheric layers

Radiation Frequency: Computed every nstrad timesteps (typically every 3 hours) to save computation.

Configurable Parameters (ShortwaveRadiationParameters):

Parameter

Description

Default

albcl

Cloud albedo

0.43

albcls

Stratiform cloud albedo

0.50

absdry

Dry air absorptivity (visible)

0.033

absaer

Aerosol absorptivity (visible)

0.033

abswv1

Water vapor absorptivity (band 1)

0.022

abswv2

Water vapor absorptivity (band 2)

15.0

abscl1

Cloud absorptivity (visible, max)

0.015

abscl2

Cloud absorptivity (band 2)

0.15

Surface Albedo (ModRadConParameters):

Parameter

Description

Default

albsea

Ocean albedo

0.07

albice

Sea ice albedo

0.60

albsn

Snow albedo

0.60

Longwave Radiation

Description: Three-band longwave scheme representing:

  • Window region (transparent to water vapor)

  • Water vapor band 1 (weak absorption)

  • Water vapor band 2 (strong absorption)

Process:

  1. Compute blackbody emission at each level

  2. Calculate water vapor absorptivity in each band

  3. Account for cloud emissivity

  4. Integrate upward and downward fluxes separately

  5. Apply surface emissivity

Band Weights: Fixed fractions of blackbody spectrum allocated to each band.

Configurable Parameters (ShortwaveRadiationParameters):

Parameter

Description

Default

ablwin

Window band absorptivity

0.3

ablwv1

Water vapor absorptivity (band 1)

0.7

ablwv2

Water vapor absorptivity (band 2)

50.0

ablcl1

Thick cloud absorptivity (window)

12.0

ablcl2

Thin cloud absorptivity

0.6

Surface Parameters (ModRadConParameters):

Parameter

Description

Default

epslw

PBL emission fraction

0.05

emisfc

Surface emissivity

0.98

Surface Fluxes

Description: Bulk aerodynamic formulation for turbulent fluxes of momentum, heat, and moisture between the surface and atmosphere.

Separate Treatment:

  • Land: Prognostic skin temperature from energy balance; moisture availability factor

  • Ocean: Prescribed SST; unlimited moisture availability

Stability Correction: Adjusts exchange coefficients based on static stability (Richardson number approach).

Energy Balance (land only):

  • Solves for skin temperature satisfying: Net radiation = Sensible heat + Latent heat + Ground heat flux

  • Includes diurnal cycle correction

  • Heat conduction to soil layer

Configurable Parameters (SurfaceFluxParameters):

Parameter

Description

Default

cdl

Momentum drag coefficient (land)

2.4×10⁻³

cds

Momentum drag coefficient (sea)

1.0×10⁻³

chl

Heat exchange coefficient (land)

1.2×10⁻³

chs

Heat exchange coefficient (sea)

0.9×10⁻³

vgust

Subgrid wind gust speed (m/s)

5.0

dtheta

Potential temp gradient for stability

3.0 K

fstab

Stability correction amplitude

0.67

ctday

Daily cycle correction

0.01

clambda

Soil heat conductivity

7.0

lfluxland

Compute land surface temperature

True

lskineb

Redefine skin temp from energy balance

True

lscasym

Use asymmetric stability coefficient

True

Vertical Diffusion

Description: Represents subgrid-scale vertical mixing by:

  1. Shallow Convection: Moisture redistribution in marginally unstable conditions

  2. Moisture Diffusion: Removes sharp vertical RH gradients

  3. Dry Convective Adjustment: Removes super-adiabatic lapse rates

Process:

  • Shallow convection diagnosed where moist static energy is nearly neutral

  • Reduced in regions of deep convection

  • Moisture diffusion applied where RH gradient exceeds threshold

  • Super-adiabatic adjustment maintains stability

Configurable Parameters (VerticalDiffusionParameters):

Parameter

Description

Default

trshc

Shallow convection time scale (hours)

6.0

trvdi

Moisture diffusion time scale (hours)

24.0

trvds

Super-adiabatic adjustment time scale (hours)

6.0

redshc

Shallow convection reduction factor

0.5

rhgrad

Maximum RH gradient (d_RH/d_σ)

0.5

segrad

Minimum dry static energy gradient

0.1

Forcing and Boundary Conditions

Description: Manages time-varying and constant boundary conditions including:

  • Sea surface temperature (SST)

  • Sea ice concentration

  • Snow cover

  • Soil moisture

  • Surface albedo

  • Orographic parameters

CO₂ Forcing: Optional increasing CO₂ concentration over time.

Configurable Parameters (ForcingParameters):

Parameter

Description

Default

increase_co2

Enable time-varying CO₂

True

co2_year_ref

Reference year for CO₂

1950

Using Custom Parameters

To customize physics parameters:

from jcm.physics.speedy.speedy_physics import SpeedyPhysics
from jcm.physics.speedy.params import Parameters
from jcm.model import Model

# Get default parameters
params = Parameters.default()

# Modify convection parameters
params = params.copy(
    convection=params.convection.copy(
        trcnv=8.0,  # Slower convection relaxation
        rhbl=0.85   # Lower RH threshold
    )
)

# Modify radiation parameters
params = params.copy(
    shortwave_radiation=params.shortwave_radiation.copy(
        albcl=0.50  # Higher cloud albedo
    )
)

# Create physics with custom parameters
physics = SpeedyPhysics(parameters=params)

# Use in model
model = Model(physics=physics)

Viewing All Parameters

To see all parameter values:

from jcm.physics.speedy.params import Parameters

params = Parameters.default()
print(params)

Scientific References

The SPEEDY physics parameterizations are based on the following key publications:

  1. Molteni, F. (2003). Atmospheric simulations using a GCM with simplified physical parametrizations. I: Model climatology and variability in multi-decadal experiments. Climate Dynamics, 20, 175-191. https://doi.org/10.1007/s00382-002-0268-2

  2. Tiedtke, M. (1993). Representation of clouds in large-scale models. Monthly Weather Review, 121(11), 3040-3061.

  3. Original SPEEDY Documentation: SPEEDY User Guide

  4. Fortran 90 Implementation: Our JAX implementation references the speedy.f90 version by Sam Hatfield and Leo Saffin.

Assumptions and Limitations

Vertical Resolution:

  • Designed for 8 vertical levels with specific σ-coordinates

  • Performance may vary with different vertical resolutions

  • Some parameters are tuned for the standard 8-level configuration

Simplifications:

  • Two-band shortwave radiation (more sophisticated schemes use 4+ bands)

  • Simplified cloud microphysics (no explicit ice/liquid separation)

  • Bulk mass-flux convection (no explicit cloud dynamics)

  • No aerosol indirect effects on clouds

  • No chemistry or interactive trace gases (except optional CO₂ trend)

Time Steps:

  • Recommended time step: 30 minutes for T31 resolution

  • Shorter time steps needed for higher resolutions

  • Radiation computed less frequently (typically every 3 hours)

Forcing Data:

  • Requires either daily climatological or constant boundary conditions

  • Assumes 365-day year for climatological forcing

  • SST and other boundary conditions are prescribed (not predicted)

Domain:

  • Global model (no regional capability)

  • Assumes spherical geometry

Performance Characteristics

Computational Cost: SPEEDY is designed to be ~10-100× faster than state-of-the-art physics packages while maintaining reasonable climatology.

Physical Realism:

  • Captures large-scale circulation patterns well

  • Reasonable representation of tropical variability (e.g., MJO-like features)

  • Mean climate biases comparable to some comprehensive GCMs

  • Best suited for dynamics studies, sensitivity experiments, and ensemble applications

Use Cases:

  • ✓ Large ensemble simulations

  • ✓ Parameter sensitivity studies

  • ✓ Dynamics and variability research

  • ✓ ML/AI training data generation

  • ✓ Educational purposes

  • ✗ Detailed process studies (e.g., cloud microphysics)

  • ✗ High-accuracy climate projections

Comparison with Other Physics Packages

Feature

SPEEDY

ICON (future)

Comprehensive GCMs

Complexity

Intermediate

High

Very High

Speed

Fast

Medium

Slow

Vertical Levels

8 (typical)

Flexible

30-100+

Radiation Bands

2 (SW), 3 (LW)

Multi-band

10-100+

Cloud Scheme

Diagnostic

Prognostic

Prognostic+Microphysics

Aerosols

Fixed climatology

Interactive

Fully interactive

Use Case

Dynamics, ML

Research

Climate projections

Next Steps

  • See Getting Started for examples of running models with SPEEDY physics

  • See API for detailed API documentation of individual parameterizations

  • See Developer Guide for information on implementing custom physics packages