Sentences with phrase «toa data»

It is more plausible that the models are running hot, that the aerosol data is botched, that the TOA data has issues etc etc because we are trying to estimate highly spatially variable values for all global quantities with very few measurements.

The end result to me, based on the earlier manually collected data and the current Triton / TOA data seems to suggest that yes there have been recent instances of warming and cooling; however, this does not mean that the present cooling is reaching cool levels in the pre-1997 range.

Not exact matches

While the TOA observations show far less agreement with the NODC and Hadley Centre OHC data sets, after 2004 they demonstrate moderate agreement with PMEL / JPL / JIMAR data sets (as determined by statistical analysis).

Changes in the planetary and tropical TOA radiative fluxes are consistent with independent global ocean heat - storage data, and are expected to be dominated by changes in cloud radiative forcing.

, you will be aware that their findings, as well as demonstrating the wobbly spatial / temporal net TOA fluxes, also show that their satellite data needs yet more accuracy to «constrain cloud feedback.»

Of course, we know TOA fluxes must continue to warm globally on a decadal basis because we have OHC data.

A watching brief would be strongly recommended with this data, except it is not the only measure of TOA ERB.

the drop in TOA ERB at the start of the CERES data may be nothing to do with any BNO (R) drop, and could be simply the last half of an oscillation as we see occuring 2008 - 2014.

At least relative to my questions above, what struck me was the possibility of starting with your reduction and analysis of the snow cover / fall anomaly data to come up with a research project based on some quite complicated but fascinating calculations on net TOA energy balance as a result of your conclusion about the relation of Arctic sea ice loss to NH snow cover / amount anomaly.

Kiehl and Trenberth published their Earth Energy Budgets showing a TOA imbalance of 0.9 + / -0.15 Wm - 2 with their graphic implying that at the surface as well, then they complain about the lack of accuracy in the instrumental data.

the values of this funciton shows the expected increase in TOA watts / meter squared based on the previous 3 decades of data going forward the decadel rate of TOA based on accumulation rates are (will be): 0.090848 1978 - 1988 0.137779 1988 - 1998 0.346731 1998 - 2008 (0.872576 2008 - 2018)(2.195904 2018 - 2028)(5.526165 2028 - 2038)(13.90702 2038 - 2048)

However, a second order polynomial function fits the data with an R ^ 2 value of 1.0 the equation for this function is y =.1243 * x ^ 2 -.2485 * x +.2175 the values of this funciton shows the expected increase in TOA watts / meter squared based on the previous 3 decades of data going forward the decadel rate of TOA based on accumulation rates are (will be):

Several recent studies have also concluded that it is necessary to include data from the deep ocean in order to reconcile global heat content and the TOA energy imbalance, which DK12 failed to do.

Our original draft blog post noted that DK12 had effectively been «pre-bunked,» as several recent studies have reconciled global heat content data with top of the atmosphere (TOA) energy imbalance measurements with no evidence of a long - term slowdown in global warming.

The silly chart from Wong et al 2006 — which was essentially the critical study for TOA radiation for AR4 — stops in 2004 because that's when Josh Willis» data runs out.

One way to illustrate this is to look at the data Florent Brient and I analyzed in another emergent - constraint paper, which used fluctuations in TOA energy fluxes in marine tropical low - cloud (TLC) regions and their correlation with ECS (Brient and Schneider 2016, see blog post).

According to CERES data TOA IR or longwave radiation from the TOA to space is increasing.

The TOA flux, however, still is positive, and the context of later years (and updated data) shows the 1998 peak to be very short lived and hardly followed by any significant decline at all.

-- robust radiative physics — ground - based instrumental evidence that CO2 absorbs and therefore emits IR exactly in accordance with the physical theory — satellite data confirming this — satellite data apparently indicating a radiative imbalance at TOA — robust measurements of the fraction of atmospheric CO2 — increasing global OHC since the mid-C20th

Dessler (2011) used observational data (such as surface temperature measurements and ARGO ocean temperature) to estimate and corroborate these values, and found that the heating of the climate system through ocean heat transport was 20 times larger than TOA energy flux changes due to cloud cover over the period in question.

We present new evidence from a compilation of over two decades of accurate satellite data that the top - of - atmosphere (TOA) tropical radiative energy budget is much more dynamic and variable than previously thought.

But as I said above — you can't get any idea of what is happening without data on radiant flux at TOA.

Based on CERES - EBAF data calibrated to Argo OHC up to July the 2008 - 2017 average TOA imbalance is going to be about 0.9 W / m2, Berkeley Earth Land + Ocean global average about 1.01 K difference from 1860 - 1879, forcing updated using NOAA AGGI to about 2.3 W / m2.

Are the GCM calculations of the radiative - energy budget at the TOA in accord with measured data?

It is the raw Argo data — gridded and volumetrically weighted — with implications as I said for radiative imbalances at toa.

Higher sensitivity staellities measure radiation at TOA could provide the data in around 20 years or so based on a cool presentation I listedn to at AGU.

This has been documented by the data of Martin Wild and others demonstrating a reduction in «solar surface radiation» during that interval — i.e, a reduction in that fraction of sunlight incident on the TOA that reached the surface under both clear sky and all - sky conditions.

«Our results demonstrate how synergistic use of satellite TOA radiation observations and recently improved ocean heat content measurements, with appropriate error estimates, provide critical data for quantifying short - term and longer - term changes in the Earth's net TOA radiation imbalance.

But that is not what satellite data are telling us: Trenberth et al (2009)-- ... Trenberth et al (2014)-- http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-13-00294.1» ANSWER: quote from Trenberth 2014 conclusion: «From the estimates discussed here, it is clear that the net energy imbalance at TOA varies naturally in response to weather and climate variations, the most distinctive of which is ENSO.

«There is a TOA imbalance of 6.4 W m - 2 from CERES data and this is outside of the realm of current estimates of global imbalances (Willis et al. 2004; Hansen et al. 2005; Huang 2006) that are expected from observed increases in carbon dioxide and other greenhouse gases in the atmosphere.

The sensitivity of the models is, as I think you are saying, constrained by it's parametrizations, which are bounded by observational data on TOA radiation data etc. (although not all very tightly constrained) but this is not what is being questioned about the models, rather the issue is whether the model hindcasts matching historical temperatures to some degree is evidence that they have correct physics, or is merely a result of modelers making the choices for inputs which will produce a reasonable result.

The Wong et al plot shows the best data available on ocean heat storage and toa radiant flux pre 2000.

To close the energy budget needs data on toa radiant flux.

The average annual excess of net TOA radiation constrained by OHC is 0.6 ± 0.4 Wm — 2 (90 % confidence) since 2005 when Argo data14 became available, before which the OHC data are much more uncertain14.

And all of the published land surface temperature include not only proxy data, but also homogenization, TOA and various other adjustments that are basically done arbitrarily, on a whim, and without justification and proper documentation.

From all the data I have found, the current Satellite data indicates less then a TOA deviation of less then +0.003 deviation.

I've not processed all of the data on a gridded basis, but if you want particular tas or TOA radiative imbalance data email me and I'll see if I can help.

Comparison with independent data, such as the top of atmosphere (TOA) radiative balance also provides insight (32).

You might get better results using data starting in 1850 (or 1851 — there is a slight jump) rather than 1900, and TOA radiative imbalance rather than ocean heat content data, for your analysis.

I compltely agree with you about the use of OHC rather than TOA radiative imbalance data, and the lack of benchmark values for the forcing from a doubling of CO2.

For equilibrium efficacies, I show estimates both from the raw data (save for iRF), and with the ocean heat uptake ΔQ divided by 0.86 to estimate the full TOA imbalance ΔN and the GISS - E2 - R equilibrium climate sensitivity of 2.3 °C replaced by its effective climate sensitivity, taken as 2.0 °C.

To further the understanding of all interested readers, please provide a like plot data for back radiation and associated surface temperatures at all corresponding ToA intervals.

I went to the CMIP archive to see if I could get the top - of - atmosphere (TOA) forcing for the GISS model month by month, but the GISS folks didn't archive that data.

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