Title: Latitudinal Gradients in the Earth
1Latitudinal Gradients in the Earths Energy Budget
2Solar Flux Impinging on Top of Earths Atmosphere
Solar Flux
Earth
Figure 3.1
3Spherical Geometry
Figure 3.2
4Daily Average Insolation (Top of Atmosphere)
Figure 3.3
5Figure 3.4
Courtesy of NASA ERBE/ Hartmann
6Annual Mean
Figure 3.5
Courtesy of NASA ERBE/Hartmann
7Annual Mean
Figure 3.6
Courtesy of NASA ERBE/Hartmann
8Courtesy of NASA ERBE
9Annual Mean
Figure 3.7
Courtesy of NASA ERBE/Hartmann
10Annual Mean Net Radiation
Annual Mean
Figure 3.8
11How to Calculate the Atmosphere-Ocean Heat Flux
across a Latitude Band
Figure 3.9
Integrate RTOA from the South Pole over the
entire polar cap to calculate the northward heat
flux across a latitude band.
f
l
South Pole
f-p/2
RTOA Shortwave absorbed - Longwave out
Polar Cap
12Required Atmosphere-Ocean Heat Transport
Figure 3.10
1 PW1015 Watts
Annual Mean
13Problems with the Use of Radiosonde Data to
Determine Transport
- Strongest poleward eddy-induced heat transport
occurs where there are few radiosondes, in the
oceanic storm tracks.
Lau (1978)
Figure 3.11
14Simplified Atmosphere Governing Equations used
in Data Assimilation
Wind (Fma)
Temperature
Water Vapor
The circled quantities on the right represent the
effects of clouds, radiation, evaporation, and
friction on the atmosphere. These terms represent
sub-gridscale processes and thus must be
parameterized.
Mass Conservation
Vertical Balance (Fma)
Figure 3.12
from Trenberth (1992)
15Parameterization within Observational Analysis
Models. Example Cumulus Parameterization
300 km
- Cumulus parameterization schemes take grid-scale
humidity and temperature data from a column of
grid cells. - The parameterization tries to simulate the
population of clouds that might exist within the
column of cells, and then determines how this
population of clouds alters the grid-averaged
temperature and humidity. - Some newer schemes also account for the effect of
cumulus clouds on the grid-scale winds. - Radiation parameterizations then use these
estimated cloud populations and their effects on
cloud liquid water to determine cloud-radiation
interactions. - This is a very difficult problem
300 km
300 km
Figure 3.13
16Atmospheric Meridional Heat Transport (As a
Function of Dataset)
TOA Net Radiation
Total and Atmospheric Transports
Differences can be seen depending on what
atmospheric dataset is used.
Figure 3.14
Trenberth and Caron (2001)
17Atmospheric Meridional Heat Transport as a
Function of Month
From Trenberth and Caron 2001
Atmospheric heat transport largest in winter
hemisphere.
Figure 3.15
18Direct Ocean Measurements
Temperature and salinity measurements across
ocean transects can be used to measure ocean
heat flux.
Figure 3.16
Ganachaud and Wunsch (2000)
19Ocean Meridional Heat Transport Calculated Using
Three Different Methods
From Trenberth and Caron 2001
Methods a) and c) Atlantic
Methods a) and b) Atlantic
Methods a), b), and c) World Ocean
Figure 3.17
20More Recent Partitions of Atmosphere Ocean Heat
Transport (suggest a larger atmosphere role)
RTOA
atm
ocean
Figure 3.18
Trenberth and Caron (2001)