Sentences with phrase «climate observations reference»

So, adjustments are made by the Australian Bureau of Meteorology to these individual series before they are incorporated into the Australian Climate Observations Reference Network — Surface Air Temperature (ACORN - SAT); and also the UK Met Office's HadCRUT dataset, which informs IPCC deliberations.

In early 2012, the HQ network was superseded by the Australian Climate Observations Reference Network (ACORN) comprising 112 stations around the country with an anomaly baseline from 1981 - 2010 and a slightly warmer trend than HQ according to the CSIRO and the National Climate Centre.

Full details on how the Bureau has prepared ACORN - SAT are available from the technical report Techniques involved in developing the Australian Climate Observations Reference Network — Surface Air Temperature (ACORN - SAT) dataset

Datasets from the Bureau of Meteorology (BoM) include the operational whole - network (unhomogenised) dataset (AWAP) and the Australian Climate Observations Reference Network - Surface Air Temperature (ACORN - SAT) dataset.

The temperature data that comprise Australia's long - term climate record are known as ACORN - SAT (Australian Climate Observations Reference Network — Surface Air Temperature).

More information on the manual and automatic practices and processes used by the Bureau to obtain these surface air temperature data is available from Australian Climate Observations Reference Network — Surface Air Temperature (ACORN - SAT) Observation practices.

Further details are available from Australian Climate Observations Reference Network — Surface Air Temperature.

The Australian Climate Observations Reference Network — Surface Air Temperature (ACORN - SAT) dataset

Not exact matches

And in that sense, a climate model is nothing more or less than a conceptual model, necessary to give a frame of reference to the state of the real world, which can never be generated by observations alone (which are incomplete, may be inconsistent, contradicting each other, biased, non-representative,...).

Innovative new approaches to climate data analysis, continued improvements in climate modeling, and instigation and maintenance of reference quality observation networks such as the U.S. Climate Reference Network (http://www.ncdc.noaa.gov/crn/) all have the potential to reduce uncertaclimate data analysis, continued improvements in climate modeling, and instigation and maintenance of reference quality observation networks such as the U.S. Climate Reference Network (http://www.ncdc.noaa.gov/crn/) all have the potential to reduce uncertaclimate modeling, and instigation and maintenance of reference quality observation networks such as the U.S. Climate Reference Network (http://www.ncdc.noaa.gov/crn/) all have the potential to reduce uncerreference quality observation networks such as the U.S. Climate Reference Network (http://www.ncdc.noaa.gov/crn/) all have the potential to reduce uncertaClimate Reference Network (http://www.ncdc.noaa.gov/crn/) all have the potential to reduce uncerReference Network (http://www.ncdc.noaa.gov/crn/) all have the potential to reduce uncertainties.

Moreover the recent decline of the yearly increments d (CO2) / dt acknowledged by Francey et al (2013)(figure 17 - F) and even by James Hansen who say that the Chinese coal emissions have been immensely beneficial to the plants that are now bigger grow faster and eat more CO2 due to the fertilisation of the air (references in note 19) cast some doubts on those compartment models with many adjustable parameters, models proved to be blatantly wrong by observations as said very politely by Wang et al.: (Xuhui Wang et al: A two-fold increase of carbon cycle sensitivity to tropical temperature variations, Nature, 2014) «Thus, the problems present models have in reproducing the observed response of the carbon cycle to climate variability on interannual timescales may call into question their ability to predict the future evolution of the carbon cycle and its feedbacks to climate»

References: Smith, T. M., and R. W. Reynolds (2005), A global merged land air and sea surface temperature reconstruction based on historical observations (1880 - 1997), J. Climate, 18, 2021 - 2036.

The next post in this series (hopefully some time next week) will look at some in - depth examples, taking hourly data from the pristine Climate Reference Network and looking at how the daily and monthly means change based on the observation time.

The papers referenced (3 in total) are based on climate models, and observations from them.

The short report by Nic Lewis, referenced here and published originally at «Climate Dialogue», showed how some of the IPCC ECS estimates downweight observations by using a Bayesian methodology that gave substantial prior probability to high values of ECS based on unsubstantiated expert «opinion».

When the time of observation is systematically changed from afternoon to morning in the Climate Reference Network, a clear cooling bias emerges.

The need for hyperspectral observations from geostationary satellites was also addressed, including a discussion of their potential role in calibration of the space - based observing system (within those spectral ranges); monitoring of the diurnal cycle; and provision of spectrally resolved radiances (hyperspectral visible / near - IR and IR) as a climate reference.

So given that climate moves in hundred thousand and million year cycles, how can we be sure our reference point, given 30 years of observation, is really «normal.»