Showing posts with label uscrn. Show all posts
Showing posts with label uscrn. Show all posts

2012/08/31

USCRN Average vs Mean data

From the downloaded data from uscrn

        Average temperature, in degrees C, during the 24 hours of the day.
        Note: USCRN/USRCRN stations have multiple co-located temperature
        sensors that record independent measurements. This value is a single
        temperature that is calculated by averaging 24 full-hour averages
        derived from the multiple independent measurements of 5-minute intervals
        during each hour

        Mean temperature, in degrees C, calculated using the typical historical
        approach of (T_DAILY_MAX + T_DAILY_MIN) / 2.

 
Mean temperature gives twice the slope of average

2012/08/22

USCRN compared to Best

Plot showing Best and USCRN data.
Best is monthly data Average
USCRN is daily Average

Quite a good match (bearing in mind Best is7500 stations and USCRN is 40)

The match becomes better as more uscrn stations come on line

The slope of linear trend is -ve in Best +ve in uscrn mainly due to Best data terminating in 2011


Berkley Data Here



2012/08/19

USCRN/USRCRN - The CONUS data

Data from the contiguous states of USA.

This is derived from all locations that have reported data from 2003 onwards. The more rescently commissioned sites therefore do not appear

The average plot shows a temperature increase of 0.3K per decade
The maximum plot shows a temperature increase of 0.6K per decade
The minimum plot shows a temperature increase of 0.14K per decade

The main plots are averaged over 10 days
The spaghetti plot is averaged over 100 days

It is interesting to note that the temperature increase since 2010 is much greater than that for the whole plot the final plot here shows a temperature increase of 6.8K per decade (PS. I realise that this is more weather than climate!)

How will watts handle this?!!!!!!!








And a final a couple with longer averaging
1. showing a 200 day averaged max chart


2. showing a 400 day averaged spaghetti plot


The last 3 years:


2012/08/12

USCRN/USRCRN - "perfect" data and how it compares

A quick look at a few CONUS (contiguous US states) data

"ITS WORSE THAN WE THOUGHT!"


http://wattsupwiththat.com/2012/08/08/an-incovenient-result-july-2012-not-a-record-breaker-according-to-the-new-noaancdc-national-climate-reference-network/

Tony has said that this date is as good as it is going to get as far as temperatures go.
He has invalidly compared USCRN with the older ghcn network using absolute values (does not get rid of any offsets between the data sets). And concludes this July is not a record breaker.

Leaving "records" aside this is the plot for 12 of the stations reporting from 2002 to current date (daily data)

A note: some of the stations reporting early in 2002 have much missing data that seems to give a high temperature anomaly in the first few months. This has been left in.

These are a simple arithmetic average of the 12 station data which individually have been averaged over 20days

This is a first stab at these plots so they may change if errors are found

Data from:
ftp://ftp.ncdc.noaa.gov/pub/data/uscrn/products/daily01
plots updated - more data - corrected averaging

Max temperature plot


Linear fit gives 0.774C/decade


Min temperature plot


Linear fit gives 0..22C per dacade


Average temperature plot


Linear fit gives 0.44C per decade


Spaghetti plot showing station names


As a comparison here is the plot for crutem3v from wft

Over the same period a negative slope!

I wonder if Tony will reject the USCRN data in the same manner as he tried to kill the Best data!