Dancing David
Penultimate Amazing
the time.
Except that we are seeing cooling now. When CO2 level are the highest ever.
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Data, citation and evidence on a global scale?
the time.
Except that we are seeing cooling now. When CO2 level are the highest ever.
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Trak
What I suggest is he grabbed the graph you have without any attribution and laid some weird hindcasting over it and presented as if it were something out of a conference he was actually at.
I call it horsepucky.
If you don't know what a naive baseline is in modelling then you are not really in a position to discuss modelling results at all.naive baseline? what do you mean?
Oh, funny.provide a link from the EGU as from what I see you claim is utter nonsense. Show us the source of the graph and who authored it.
What it looks like to me is something you concocted from whole cloth from
http://www.climatedata.info/index.html
This on the other hand is what a simulation against data for precipitation actually looks like.
[qimg]http://i106.photobucket.com/albums/m269/macdoc/junk%20album/prc-01-IPCC---Fig-918a_zpsff17bce1.gif[/qimg]
http://www.climatedata.info/resources/Precipitation/prc-01-IPCC---Fig-9.18a.gif
So what the reader should conclude is that the factual and or science content of your posts are as odiferous as the ejecta from a bull with a serious case of the trots.....and to be equally ardently avoided.
The null hypothesis is that you don't know, and it may, in fact, mean nothing at all.If you don't know what a naive baseline is in modelling then you are not really in a position to discuss modelling results at all.
Why would you use a reconstruction known to rely on difficult calibration problems and bias when you can directly use land-only data and get a reliable observation?I can't find any graph covering the time period of the contentious graph that looks anything like what was presented here. Here is a set precip graphs that cover the period of the graph presented here.
"Global precipitation trends in 1900–2005 from a reconstruction and coupled model simulations"
http://shen.sdsu.edu/pdf/renl_jgrat_2013.pdf
[qimg]http://www.internationalskeptics.com/forums/picture.php?albumid=839&pictureid=8839[/qimg]
ROFLMAO. Of course, in your world the hydrological cycle has no impact on temperatures. Unfortunately, in my world (i.e. the real one, not ones that run on supercomputers) the hydrological cycle is the single biggest influence on temperature. Or are you a GHG denier? lol.of precipitation, not temperature. Useless for the discussion at hand.
Yeah, cause clouds and water vapour have no impact on energy balance. /sarcDon't be ridiculous. Calculating top of atmosphere energy balance if a FAR simpler problem than calculating every detail of how that is felt in a complex system.
Pressed to reply without doing any search or calculation, I would say 10 to 13 ppmv CO2 down at Mauna Loa for the first decade, depending on the global temperatures. Very old models (old like a 486 or a Pentium I) had a fixed ratio of ocean absorption and neutral land vegetation so they showed much less. Of course, we knew less then and CO2 levels were around 350.
If you don't know what a naive baseline is in modelling then you are not really in a position to discuss modelling results at all.
(macdoc, for your benefit: "variance" and "standard deviation" have explicit technical meaning in data analysis, the former being the square of the latter; the IPCC acknowledges my point on this, even if they use ridiculous graphs to hide the disagreement to people who don't understand maths)
I have many more about that graph involving arithmetic, publicly available data, models, statistics. Maybe replying that may help you to write better intentions.Sorry, I didn't read the text, but there's a problem with the image. What is it the black line? Can you point to the database of that line? Don't you have some 1000mm global average land precipitations by 1990? Take a look to this source. Why don't you calculate the value? Take the twenty biggest countries if you are in a rush. Don't forget Antarctica.
10-13 ppm/decade?
Why would you use a reconstruction known to rely on difficult calibration problems and bias when you can directly use land-only data and get a reliable observation?
Oh, actually, I think I already know the answer to that question. Using the reliable data gives an answer you don't like. OK.
How plants are responding to extreme rainfall trends and climate change
4 hours ago by Amy Macintyre
Australian scientists are studying how plants worldwide will respond to more extreme rainfall in a future affected by climate change. They report that impacts will vary greatly across regions, meaning potentially dramatic disruptions to plant growth. This changed timing of rainfall may impact grasses and crops, with different rooting depths to trees, in different ways.
Because extreme precipitation, or changed timing of precipitation changes soil water content, this is likely to affect plant growth. This means food production, forestry industry, biodiversity and carbon and water cycles may also be affected, depending upon the region, and soil types. Interactions with pests and pathogens, and invasive species may also be influenced by extreme precipitation changing soil water content.
...
Edited by LashL:Snipped for compliance with Rule 4. Please, do not copy and paste lengthy tracts of text from elsewhere.
Read more at: http://phys.org/news/2014-06-extreme-rainfall-trends-climate.html#jCp
Evidence for this claim?the hydrological cycle is the single biggest influence on temperature.
Yeah, cause clouds and water vapour have no impact on energy balance.
No graph attribution ....
I suspect his question is specific to the term “naive baseline” rather than naive models in general. While I see no reason you couldn’t use a naive model as a baseline for something, Googleing the term “naive baseline” yields an inordinate number of hits to Roger Pielke writing on a variety of topics. It seems the phrase “naive baseline” isn’t nearly as commonly used as you have been lead to believe in the denier literature you seem to rely on. Having seen it before doesn’t tell us anything about whether someone knows what a naive model is.If you don't know what a naive baseline is in modelling then you are not really in a position to discuss modelling results at all.naive baseline? what do you mean?
If you don't know what a naive baseline is in modelling then you are not really in a position to discuss modelling results at all.
Originally Posted by macdoc View Post
No graph attribution ....
It was from climatedata dot info precipitation
As The Games Begin, Deadly Floods Threaten World Cup Host City
BY JOANNA M. FOSTER JUNE 12, 2014 AT 9:45 AM UPDATED: JUNE 12, 2014 AT 10:06 AM
As Brazil and Croatia prepare to battle it out in Sao Paulo in the opening match of the World Cup this afternoon, thousands of Brazilians in the south of the country are picking up the pieces after torrential rains left a trail of destruction.
State officials have declared an emergency in 130 cities in the southern state of Parana as relentless rains, which started on Saturday have damaged nearly half a million homes and claimed at least 11 lives.
Curitiba, one of Brazil’s 12 host cities for the World Cup is one of the cities in the flood zone.
Nearly 500 people were evacuated from the city as the Spanish team arrived on Sunday. Iran is scheduled to play Nigeria in Curitiba’s Baixada Arena on Monday, followed by Spain versus Australia on June 23. Across the state of Parana more than 33,000 people were forced from their homes.
While deadly floods are not uncommon in Brazil, the timing of the latest deluge is bizarre.Flooding mostly occurs in Brazil during the summer rainy season. Brazil’s winter months, May to August, are usually mostly dry.
This is just the latest in a series of climate-related events that have plagued Brazil over the last few months as final preparations for the World Cup have been underway. January and February, which usually bring the year’s heaviest rains to the country, were extremely dry and hot, and sparked fears of water rationing and power shortages as hydroelectric reservoirs dwindled. Brazil depends on hydropower for two-thirds of its energy.