The attached file, with regard to the prediction of air temperature, may be helpful to you.

Regards

Article Air Temperature Estimation by Using Artificial Neural Networ...

Do you have access to radiosonde data?

no sir.

 we do not have an access to radiosonde data. i am using AWS data.

Dear Chetna,

This is the "environmental lapse rate" you are interested in calculating. The dry or saturated lapse rates are belong to the movement of an air parcel, not a moving sensor through the atmosphere.

Dear Chetna,

You can download global Radiosonde data from the National Oceanic and Atmospheric Administration's (NOAA) Earth System Research Laboratory (ESRL) data server. The website is very user friendly. You can customize your data download requirement such as particular day, month and time (00 UTC or 12 UTC). The best thing is that you can generate Skew-T profile from for your desired station and download the plot as an image file. Of course you can download the data and use your own language (I use NCL) to process the data to meet own requirement.

Below I am attaching both data interpretation and data download links: 

I am also including an workout example (look example 7) link that illustrates how to plot NOAA's ESRL Radiosonde data using NCL (NCAR Command language).

I hope this helps, but please let me know if you need anything else or if you have any other questions. 

Thanks 

http://esrl.noaa.gov/raobs/General_Information.html

http://esrl.noaa.gov/raobs/

http://www.ncl.ucar.edu/Applications/skewt.shtml

Dear Chetna

thank you for your question!

I think me predecessors gave you already good hints!

Some additional suggestions:

Often monthly lapse rate based on in-situ stations depends also on the season and the micro-topography of the AWS'location. Are they located in a valley floor, on the top of a mountain, etc. Sometimes you have quite strong inversion situations during winter and lapse rate is different during wet season and dry season. I think it is also important what is the scope of your calculation (snow-rain transition?, Degree day calculation or other scope)?

Kind regards

Mario

Hi Chetna,

You can find the lapse rate by dividing the difference in temperature by the difference in altitude of two stations.  I suggest you do that for the upper and middle stations on a daily basis (using a spread sheet.) Then repeat the exercise, using the data you have, for the middle and lower stations. If the lapse rates for upper and middle agree with middle and lower then you can use the upper and middle lapse rate as the middle and lower lapse rate for the dates for which you have no data. Then for the dates for which you have no data for the lower station, you can calculate the missing temperatures by multiplying the difference in altitude between the middle and lower stations by the lapse rate on the corresponding day for the upper and middle stations.  

You could use averages, but only if the average lapse rate for lower to middle equals the average middle to upper. It that validation fails then your best bet is to use daily values as explained above.

HTH,

Cheers, Alastair.

I used to meassured LAi in onions taking the length and wide of leaves times a factor givebn by Brewster and Mondal for this crop.  The factor was given because the shape of the onion leaf, In crops or plants with regular shepae you can use the wide and length only. We found a good corrlelation between this method and meassures made by using instruments ...Jorge 

thank you all for your suggestions..this is really helpful  for me.

Mario rohrer sir,

i am using this data for degree day calculation.

Dear Chetna

thank you for your clarification!

If you use it for DDF, I would do it in the following way:

1. Try to extrapolate mean daily air temperature with a lapse rate of 0.65 °C/100m for all three stations seperatly. (This has the advantage that you can see the differences of this extrapolation for your different stations)

2. Calculate the mean air temperature of these 3 extrapolations per 200 m altitude step (or so)

3. Calibrate DDF with this mean air temperature by a measured runoff for a calibration phase and control in a verification phase. If you don't have runoff, use DDF from literature for your region (normally around 5mm for snow and around 10 mm for bare glacier ice, but of course, this can vary considerably depending on your data, the catchment characteristics, glacier type etc.)

Often, this procedure gives better results than calculating a lapse rate based on the station air temperatures.

Kind regards from Switzerland  to India

Mario

Thank you sir.. I will do the same. 

Hi Chetna,

I got your e-mail but was unable to send a reply.

What you wrote is correct. I will try and send a fuller reply later.

Hello Chetna,

I like Mostofo Kamal's suggestion.  There is a large network of radiosondes that I frequently use as well from time to time.  It may be that there are none near you though. I don't have any immediate suggestions, however, I do have a consideration.  Although you are performing a monthly average, it would be wise to keep track, if possible, of any low-level inversions that could skew the result.  I'm saying this because you are using only three points.  It may be that you do, in many cases, have the environmental lapse rate you are looking for, but that the three points you are looking at do not fall along that constant lapse rate temperature line because of the presence of an inversion.  Just a thought.