Sentences with phrase «lu verne»

And I lu - huh - huuv those boxes!!!

Hal - le - lu - iah!

I lu - huve it when bloggers go shopping and take me along for the virtual ride.

We had the opportunity to use this bed in three different kids bedrooms & accomplish three different looks: LU

A requirement of the Online School Counseling Program is a face - to - face Residency course on the LU campus whereby you will directly interact with faculty for developing counseling skills through experiential learning.

Vocation legend - AR: Armamentalist, GL: Gladiator, LU: Luminary, MA: Martial Artist, MG: Mage, MI: Minstrel, PL: Paladin, PR: Priest, RA: Ranger, SA: Sage, TH: Thief, WA: Warrior

HOW DOES TRAFFIC SCHOOL IN LU VERNE IOWA WORK?

HOW IS THE LU VERNE IOWA DEFENSIVE DRIVING SCHOOL DIFFERENT?

WHAT IS LU VERNE IOWA DEFENSIVE DRIVING?

WHO COMPLETES TRAFFIC SCHOOL ONLINE IN LU VERNE IOWA?

LU Law would focus on aboriginal issues and offer a work / study program.

The LU application smartly uses the meta - data from both websites — so content is automatically matched to users by industry or profession.

The bland, repetitive, and often formulaic cadences of legal writing in general, and judicial writing in particular, can be explained in large part by a commitment to the neutral and consistent application of the law... [T] he effort to demonstrate that similar cases are being treated alike often finds its rhetorical manifestation in a penchant for analyses that have a déja lu quality — usually because the words have been read before.

The déja lu phrase from Simon Stern's article is not a typo for déja vu; I learned today that it describes the experience of having read something previously.

[T] he effort to demonstrate that similar cases are being treated alike often finds its rhetorical manifestation in a penchant for analyses that have a déja lu quality — usually because the words have been read before.

Moreover, AR5's conclusion about the effects of land - use change imply a median estimate for LU efficacy of zero.

As I wrote earlier, whether or not LU run 1 is strictly a rogue, it seems to me that there is a good case for excluding it since we know the real world climate system did not behave like this during the 20th century.

I do have an independent way to test your speculation — which is to see whether my forward model of the GISS - E2 - R historic run is significantly improved by modifying the forcing input under the assumption that the LU data were not correctly included.

That could perhaps explain what happened in LU run 1.

It appears that the very high (although not statistically significant) best estimates for LU efficacy are affected by an outlier, possibly rogue, simulation run.

I have now downloaded and processed CMIP5 data for the GISS - E2 - R single forcing runs, so I can show the spatial effects of LU forcing on simulated surface temperatures.

That is, run # 1 is unlikely to be a member of the same normally distributed sample population as runs # 2 through # 5, and so is more likely due to an unrelated effect which just was not present in the other LU runs.

Figure 3 also shows that although LU forcing is very spatially inhomogeneous, it affects temperatures throughout the globe.

Is it known to what extent GISS models still rely upon the original Hansen 1998 estimates for increased albedo from LU changes?

-LSB-...] followed up my first article with an update that concentrated on land use change (LU) forcing.

Therefore, any theoretical possibility of changes like those in LU run 1 occurring in the real world seems irrelevant when estimating the effects of land use change on deriving TCR and ECS values from recorded warming over the historical period.

So, the difference might conceivably be due to LU iRF being missing from the Historical iRF values.

This result provides further evidence that LU forcing may not be included in the Historical forcing values.

[16] Transient efficacy estimates using iRF based respectively on unconstrained decadal regression from 1906 — 2015 to 1996 — 2005 (as in Marvel et al.), changes from 1850 to 1996 — 2005, and zero - intercept regression are: LU 3.89, 1.64, 1.03; Oz 0.60, 0.57, 0.70; SI 1.53, 1.68, 1.82; and VI 0.56, 26.45, 0.31.

The forcing agents are long - lived greenhouse gases (GHG), anthropogenic aerosols (AA), land - use changes (LU), ozone (Oz), solar (SI) and volcanoes (VI).

That is, my understanding is that there is an RF attributed to LU / LC, and presumably Nic has included it in his calculations above.

Marvel et al. state that the GISS ModelE2 is more sensitive to CO2 alone than it is to the sum of the forcings that were important over the past century, attributing this largely to the low efficacy of ozone and volcanic forcings and the high efficacy of aerosol and LU forcing.

LU forcing in GISS - E2 - R reaches -0.19 W / m2 during the 1980s, relative to 1850, and stays constant until 2012.

Their very high efficacy for land - use is the biggest contributor, closely followed by the slightly sub-unity efficacy of GHG, and then by the pretty low efficacy for ozone (broadly, half as important as LU).

[22] The LU efficacies estimates are greatly reduced if run 1 is excluded.

If an author of that paper sees no problem with that LU run not being an outlier one would have to put that occurrence onto expected variation in multiple model runs.

Maybe it is more likely that LU forcing had enough of an effect in the version of GISS - E2 - R used (at least for other CMIP5 runs), with the faulty ocean mixing scheme?

Figure 2 shows the changes simulated by GISS - E2 - R in response to LU forcing for each of simulation runs 2 to 5.

The generally greater cooling in land masses than over the ocean is mainly due to temperatures over land generally being more sensitive to global forcing, not to LU forcing being located in land masses.

Dropping LU forcing as a regressor does not increase the residual standard deviation of 0.00195, but brings the estimated coefficients for Aerosol + Ozone and for Snow Albedo BC down to somewhat closer to one.

It certainly seems less unlikely that GISS scientists might have missed out LU forcing when deriving iRF values for the All forcings case offline than when setting up the Historical simulation itself.

IPCC AR5 estimated LU albedo forcing as -0.15 W / m2 from 1750 to 2011, and at -0.11 W / m2 from 1850 to 2011.

Nic, http://up.picr.de/24449544li.gif (sorry, something went wrong with the upload, the link should work) These are the Trendslopes and error - bars (95 % confidence) for the LU runs from your sheet.

It would in fact be fairly obvious if a similar ocean instability to that in LU run 1 had occurred, and there seems no trace of it having done so in any other historical period run.

My Figure 4 showed that when LU forcing was deducted, the excess of Historical forcing over the sum of the six individual forcings analysed by Marvel et al. almost exactly matched forcing from black carbon deposited on snow and ice (Snow Albedo BC), a minor forcing included in the Historical simulations in addition to the six forcing analysed in Marvel et al..

No other of the > 30 single forcing runs display a difference from the mean GMST change of the remainder of the ensemble that is more than a fraction of that applying to LU run 1, and there is no physical reason for a massive ocean anomaly to develop in response to very weak land use change forcing.

I think the GCMs distribute the LU effects because of scale issues.

Lehigh University (LU)-- Novel Thermal Energy Storage Technologies for Concentrating Solar Power Generation (Bethlehem, Pa.) Up to $ 1.5 million.

- Archaeology / History land - use reconstructions (Land Use, LU).

The LandCover6k LU work packages coordinators are still the same.