«The role of DYNAMO in situ observations in improving NASA CERES - like daily surface and
atmospheric radiative flux estimates.»
Regarding your complaint about the excessive referencing to my own articles I can only tell, that as soon as somebody else is willing to compute and write articles on the tau and the analytical relationships among
the atmospheric radiative fluxes, I shall be happy to reference them.
Not exact matches
The
radiative effect of clouds on the shortwave
fluxes is computed as a seasonally varying (but fixed from one year to the next) and spatially varying
atmospheric albedo.
There are multiple non-
radiative energy
fluxes at the surface (latent and sensible heat
fluxes predominantly) which obviously affect the
atmospheric temperature profiles, but when it comes to outer paces, that
flux is purely
radiative.
This is most likely because his
radiative model does not have any
atmospheric mixing, and therefore the response to near - ground
fluxes is hugely overestimated.
(Note that
radiative forcing is not necessarily proportional to reduction in
atmospheric transparency, because relatively opaque layers in the lower warmer troposphere (water vapor, and for the fractional area they occupy, low level clouds) can reduce
atmospheric transparency a lot on their own while only reducing the net upward LW
flux above them by a small amount; colder, higher - level clouds will have a bigger effect on the net upward LW
flux above them (per fraction of areal coverage), though they will have a smaller effect on the net upward LW
flux below them.
The ones that are most relevant today though are those that affect
atmospheric absorption and reflection of radiation, and surface impacts on either
radiative or hydrologic
fluxes.
We have performed such experiments for the principal greenhouse gases, clouds, and aerosols using the [Goddard Institute] climate model by systematically inserting, or taking out, each
atmospheric constituent one at a time, and recording the corresponding
radiative flux change.
Using the modtran model on line I get a
radiative forcing from 10 *
atmospheric methane of 3.4 Watts / m2 (the difference in the instantaneous IR
flux out, labeled Iout, between cases with and without 10x methane).
You refuse to accept that ocean and
atmospheric changes
radiative flux no matter how often it is shown to you.
In another study, a multi-year time series of surface
radiative fluxes and other
atmospheric properties measured by a DOE climate program are being used at AER to evaluate
radiative fluxes and to validate forecasts of surface temperature and other properties in the Weather Research and Forecasting (WRF) regional model.
where is the vertically integrated energy
flux in the atmosphere, is the net
radiative energy input to an
atmospheric column (the difference between absorbed shortwave radiation and emitted longwave radiation), and is the oceanic energy uptake at the surface.
This necessitates taking into account
atmospheric radiative transfer so that any SST warming is driven by
radiative changes (e.g., changes in greenhouse gas concentrations) and resultant changes in the surface
fluxes.
During the monsoon season, latent heat release dominates the
atmospheric heat content, whereas net
radiative fluxes are relatively constant throughout the year, reflecting the stabilizing long - wave
radiative feedback.
Radiative heat flux comprises all radiative fluxes in and out of the atmospheric column («Radiative
Radiative heat
flux comprises all
radiative fluxes in and out of the atmospheric column («Radiative
radiative fluxes in and out of the
atmospheric column («
RadiativeRadiative»).
A comparison of CO2 and CH4
fluxes from eutrophic reservoirs suggests that eutrophication does little to change the net carbon balance of reservoirs, but greatly increases the
atmospheric radiative forcing caused by these systems through the stimulation of CH4 production (figure 3).
However, the magnitude of the effect is very small ~ 1E - 6 N / m2 (
radiative flux / speed of light), compared to the
atmospheric pressure ~ 1E5 N / m2.
Given the model generated clouds, we can calculate their
radiative effects on
atmospheric fluxes accurately for both solar and thermal radiation.
When you calculate the net Radiation Field at the surface, the net
radiative flux is in non self - absorbed H2O bands and the
atmospheric window.
But in a given model you can often find ways of altering the model's climate sensitivity through the sub-grid convection and cloud schemes that affect cloud feedback, but you have to tread carefully because the cloud simulation exerts a powerful control on the
atmospheric circulation, top - of - atmosphere (TOA) and surface
radiative flux patterns, the tropical precipitation distribution, etc..
The TOA imbalance minus the net surface
flux (from * all *
fluxes, latent,
radiative, etc.) gives the rate of change of the
atmospheric energy content.
The Eastern North Atlantic instrument field covers a variety of meteorological measurements focusing on
atmospheric and boundary properties, surface and
radiative fluxes, and precipitation.
It has increased the humidity of the atmosphere, altered the
atmospheric vertical motion and associated cloud fields, and perturbed the longwave and shortwave
radiative fluxes at the continental surface.
The reconstruction of
radiative fluxes from
atmospheric properties is a very difficult and tedious job and both the ISCCP and ERBE / CERES groups are putting a great deal of effort into producing detailed and carefully evaluated
radiative flux datasets.
My approach in the paper (the application example in http://www.springerlink.com/content/6677gr5lx8421105/fulltext.pdf) is that we can directly use the energy conservation equation to analyze the climate feedbacks which essentially are the changes in the energy cycle of the climate system, including both the
radiative feedbacks and also dynamic feedbacks (surface heat
fluxes and
atmospheric / oceanic energy transport feedbacks).
The direct CO2
radiative forcing is the change in infrared
radiative fluxes for a doubling CO2 (typically from 287 to 574 ppm), without any feedback processes (e.g. from changing
atmospheric water vapor amount or cloud characteristics.)
In the thread on Confidence in
Radiative Transfer Models, we argued that line - by - line radiative transfer codes and the best band models can accurately simulate clear sky (no clouds, aerosols) infrared radiation fluxes at the surface provided that the vertical profiles of atmospheric temperature and trace gas concentrations are specified ac
Radiative Transfer Models, we argued that line - by - line
radiative transfer codes and the best band models can accurately simulate clear sky (no clouds, aerosols) infrared radiation fluxes at the surface provided that the vertical profiles of atmospheric temperature and trace gas concentrations are specified ac
radiative transfer codes and the best band models can accurately simulate clear sky (no clouds, aerosols) infrared radiation
fluxes at the surface provided that the vertical profiles of
atmospheric temperature and trace gas concentrations are specified accurately.