SME FAQ - Revision history

Agrineer at 23:52, 28 January 2019

2019-01-28T23:52:12Z

← Older revision		Revision as of 16:52, 28 January 2019
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	- download and install the code from our [https://gitlab.com.agrineer repository] and exercise the command line versions of GDC and SME. Learn the processing stream on a local platform to get familiar with the model. You do not need to generate data as it can be downloaded. Linux navigation skills are required.		- download and install the code from our [https://gitlab.com.agrineer repository] and exercise the command line versions of GDC and SME. Learn the processing stream on a local platform to get familiar with the model. You do not need to generate data as it can be downloaded. Linux navigation skills are required.

	- inspect, in detail, parts of the model code that are of interest to you and look for improvements. For example, look at the [https://gitlab.com/agrineer/eto ETo] code and improve on relative humidity calculations, or you could implement crop coefficients using smooth curves, instead of discrete steps. There are many aspects of the implementation stream that are interesting and improvable. This type of ~~explore~~ gives a student an in depth understanding of modelling. Python/NumPy programming skills are required.		- inspect, in detail, parts of the model code that are of interest to you and look for improvements. For example, look at the [https://gitlab.com/agrineer/eto ETo] code and improve on relative humidity calculations, or you could implement crop coefficients using smooth curves, instead of discrete steps. There are many aspects of the implementation stream that are interesting and improvable. This type of exploration gives a student an in depth understanding of modelling. Python/NumPy programming skills are required.

	- compile and compare aspects of predicted and sensed data for local areas, eg. How close is historical WRF modelled rain to measured rain in your pixel (area)? Many components can be compared that would be available with regular weather sensors, such as temperatures, relative humidity and wind speed.		- compile and compare aspects of predicted and sensed data for local areas, eg. How close is historical WRF modelled rain to measured rain in your pixel (area)? Many components can be compared that would be available with regular weather sensors, such as temperatures, relative humidity and wind speed.

Agrineer at 23:46, 28 January 2019

2019-01-28T23:46:01Z

← Older revision		Revision as of 16:46, 28 January 2019
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	Assuming a set of working input files, a useful exercise for farmers is to review the past growing season using different irrigation schedules to see how the soil responds. Crops can also be changed to see what their water usage would have been. See the question below.		Assuming a set of working input files, a useful exercise for farmers is to review the past growing season using different irrigation schedules to see how the soil responds. Crops can also be changed to see what their water usage would have been. See the question below.

	== I am a irrigation specialist at a large farm. How can I use the SME ? ==		== I am an irrigation specialist at a large farm. How can I use the SME ? ==

	The purpose of the SME is to provide a working estimate of water usage for different crops and soils. This allows for general monitoring of soil moisture and to apply irrigations as needed to avoid plant stress.		The purpose of the SME is to provide a working estimate of water usage for different crops and soils. This allows for general monitoring of soil moisture and to apply irrigations as needed to avoid plant stress.

Agrineer at 02:11, 28 January 2019

2019-01-28T02:11:08Z

← Older revision		Revision as of 19:11, 27 January 2019
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	We currently cover only half of the western US and invite data contributions from third parties. We have released a Docker file package for container implementation of the data generation, where necessary code is automatically downloaded and bundled for use. All software is free. This requires a Docker friendly platform, with multi-core CPU, and of course somebody to maintain it (eg. check that data gets delivered, etc.). We have tested the container on a Linux platform, but not yet on Macs or Windows. The computer does not need to be dedicated to generate the data, as only ~4hrs is used per sector per day. Docker claims it should work on Mac and Windows.		We currently cover only half of the western US and invite data contributions from third parties. We have released a Docker file package for container implementation of the data generation, where necessary code is automatically downloaded and bundled for use. All software is free. This requires a Docker friendly platform, with multi-core CPU, and of course somebody to maintain it (eg. check that data gets delivered, etc.). We have tested the container on a Linux platform, but not yet on Macs or Windows. The computer does not need to be dedicated to generate the data, as only ~4hrs is used per sector per day. Docker claims it should work on Mac and Windows.

	~~== How do I setup the input files for the SME tool? ==~~
	== Can I download the input and output files from an SME run? ==		== Can I download the input and output files from an SME run? ==
	Yes. Click on the "Download" checkbox next to the "Apply" button. You will be asked where to download the zipped file containing all input and output files.		Yes. Click on the "Download" checkbox next to the "Apply" button. You will be asked where to download the zipped file containing all input and output files.
	~~== Where can I find crop coefficients? ==~~
	== Your model is historically based using WRF in hindcast mode. Can the SME run in forecast mode? ==		== Your model is historically based using WRF in hindcast mode. Can the SME run in forecast mode? ==
	Yes, and it would be useful in deciding near future irrigation scheduling for harvest, market, and efficiency purposes.		Yes, and it would be useful in deciding near future irrigation scheduling for harvest, market, and efficiency purposes.
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	It would also be possible to merge both hindcast and forecast data for an SME run. So, data contributions could be based on either hindcast (yesterday and before) and/or some number of days into future, including today. Daily forecast files would incrementally be replaced with the hindcast, reanalyzed, version. However, the addition of future days would dramatically increase the need for data contributions. For example, if we wanted to predict seven days into the future it would take 8 data contributions per sector per day: 1 hindcast + 7 future days, as opposed to just 1 hindcast contributor per sector per day. Implementing this "merged" version is possible with enough data contributors.		It would also be possible to merge both hindcast and forecast data for an SME run. So, data contributions could be based on either hindcast (yesterday and before) and/or some number of days into future, including today. Daily forecast files would incrementally be replaced with the hindcast, reanalyzed, version. However, the addition of future days would dramatically increase the need for data contributions. For example, if we wanted to predict seven days into the future it would take 8 data contributions per sector per day: 1 hindcast + 7 future days, as opposed to just 1 hindcast contributor per sector per day. Implementing this "merged" version is possible with enough data contributors.

			<!--
			== How do I setup the input files for the SME tool? ==
			== Where can I find crop coefficients? ==
			-->

Agrineer: /* I am an agricultural professor. How can I use the SME? */

2019-01-27T21:43:34Z

I am an agricultural professor. How can I use the SME?

← Older revision		Revision as of 14:43, 27 January 2019
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	- generate WRF data for areas of interest (sectors). See below on generating data.		- generate WRF data for areas of interest (sectors). See below on generating data.

	- consider implementing other backend soil moisture models for research and comparison purposes		- consider implementing other backend soil moisture models for research and comparison purposes.

	== I am an agricultural student with programming skills. How can I use the SME? ==		== I am an agricultural student with programming skills. How can I use the SME? ==

Agrineer: /* I am an agricultural student with programming skills. How can I use the SME? */

2019-01-27T21:43:10Z

I am an agricultural student with programming skills. How can I use the SME?

← Older revision		Revision as of 14:43, 27 January 2019
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	- graduate endeavours could include long term studies to compare sensed soil moisture to different SME outputs with various parameters, ie.crop coefficients, soil descriptions, etc.		- graduate endeavours could include long term studies to compare sensed soil moisture to different SME outputs with various parameters, ie.crop coefficients, soil descriptions, etc.

			- consider implementing other backend soil moisture models for research and comparison purposes.

	- become the administrator for data contribution for a sector. See below.		- become the administrator for data contribution for a sector. See below.

Agrineer: /* I am an agricultural professor. How can I use the SME? */

2019-01-27T21:42:41Z

I am an agricultural professor. How can I use the SME?

← Older revision		Revision as of 14:42, 27 January 2019
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	- generate WRF data for areas of interest (sectors). See below on generating data.		- generate WRF data for areas of interest (sectors). See below on generating data.

			- consider implementing other backend soil moisture models for research and comparison purposes

	== I am an agricultural student with programming skills. How can I use the SME? ==		== I am an agricultural student with programming skills. How can I use the SME? ==

Agrineer: /* I am an agricultural student with programming skills. How can I use the SME? */

2019-01-27T03:40:13Z

I am an agricultural student with programming skills. How can I use the SME?

← Older revision		Revision as of 20:40, 26 January 2019
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	- inspect, in detail, parts of the model code that are of interest to you and look for improvements. For example, look at the [https://gitlab.com/agrineer/eto ETo] code and improve on relative humidity calculations, or you could implement crop coefficients using smooth curves, instead of discrete steps. There are many aspects of the implementation stream that are interesting and improvable. This type of explore gives a student an in depth understanding of modelling. Python/NumPy programming skills are required.		- inspect, in detail, parts of the model code that are of interest to you and look for improvements. For example, look at the [https://gitlab.com/agrineer/eto ETo] code and improve on relative humidity calculations, or you could implement crop coefficients using smooth curves, instead of discrete steps. There are many aspects of the implementation stream that are interesting and improvable. This type of explore gives a student an in depth understanding of modelling. Python/NumPy programming skills are required.

	- compile and compare aspects of predicted and sensed data for local areas, eg. How close is historical WRF modelled rain to measured rain in your pixel (area)? Many components can be compared that would be available with regular weather sensors, such as relative humidity and wind speed.		- compile and compare aspects of predicted and sensed data for local areas, eg. How close is historical WRF modelled rain to measured rain in your pixel (area)? Many components can be compared that would be available with regular weather sensors, such as temperatures, relative humidity and wind speed.

	- graduate endeavours could include long term studies to compare sensed soil moisture to different SME outputs with various parameters, ie.crop coefficients, soil descriptions, etc.		- graduate endeavours could include long term studies to compare sensed soil moisture to different SME outputs with various parameters, ie.crop coefficients, soil descriptions, etc.

Agrineer: /* I am an agricultural student with programming skills. How can I use the SME? */

2019-01-27T03:37:50Z

I am an agricultural student with programming skills. How can I use the SME?

← Older revision		Revision as of 20:37, 26 January 2019
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	Here are some ways to use the SME: <br><br>		Here are some ways to use the SME: <br><br>

	- download and install the code from our [https://gitlab.com.agrineer repository] and exercise the command line versions of GDC and SME. Learn the processing stream on a local platform to get familiar with the model. You do not need to generate data as it can be downloaded. ~~Moderate~~ Linux navigation skills are required.		- download and install the code from our [https://gitlab.com.agrineer repository] and exercise the command line versions of GDC and SME. Learn the processing stream on a local platform to get familiar with the model. You do not need to generate data as it can be downloaded. Linux navigation skills are required.

	- inspect, in detail, parts of the model code that are of interest to you and look for improvements. For example, look at the [https://gitlab.com/agrineer/eto ETo] code and improve on relative humidity calculations, or you could implement crop coefficients using smooth curves, instead of discrete steps. There are many aspects of the implementation stream that are interesting and improvable. This type of explore gives a student an in depth understanding of modelling. Python/NumPy programming skills are required.		- inspect, in detail, parts of the model code that are of interest to you and look for improvements. For example, look at the [https://gitlab.com/agrineer/eto ETo] code and improve on relative humidity calculations, or you could implement crop coefficients using smooth curves, instead of discrete steps. There are many aspects of the implementation stream that are interesting and improvable. This type of explore gives a student an in depth understanding of modelling. Python/NumPy programming skills are required.

Agrineer: /* I am an agricultural student with programming skills. How can I use the SME? */

2019-01-27T03:36:30Z

I am an agricultural student with programming skills. How can I use the SME?

← Older revision		Revision as of 20:36, 26 January 2019
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	== I am an agricultural student with programming skills. How can I use the SME? ==		== I am an agricultural student with programming skills. How can I use the SME? ==
	Here are some ways to SME: <br><br>		Here are some ways to use the SME: <br><br>

	- download and install the code from our [https://gitlab.com.agrineer repository] and exercise the command line versions of GDC and SME. Learn the processing stream on a local platform to get familiar with the model. You do not need to generate data as it can be downloaded. Moderate Linux navigation skills are required.		- download and install the code from our [https://gitlab.com.agrineer repository] and exercise the command line versions of GDC and SME. Learn the processing stream on a local platform to get familiar with the model. You do not need to generate data as it can be downloaded. Moderate Linux navigation skills are required.

Agrineer at 03:34, 27 January 2019

2019-01-27T03:34:02Z

← Older revision		Revision as of 20:34, 26 January 2019
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	The SME, with working parameters, can be used to address and give insight to the above questions.		The SME, with working parameters, can be used to address and give insight to the above questions.

	== I am an agricultural professor. How can I ~~participate~~? ==		== I am an agricultural professor. How can I use the SME? ==
	Here are some ways to ~~participate~~: <br><br>		Here are some ways to use the SME: <br><br>
	- show your students the website tools and indicate that source code is available for review and improvements.		- show your students the website tools and indicate that source code is available for review and improvements.

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	- generate WRF data for areas of interest (sectors). See below on generating data.		- generate WRF data for areas of interest (sectors). See below on generating data.

	== I am an agricultural student ~~without~~ programming skills. How can I ~~participate~~? ==		== I am an agricultural student with programming skills. How can I use the SME? ==
	~~== I am~~ an ~~agricultural student with~~ programming skills. How can ~~I participate? ==~~		Here are some ways to SME: <br><br>

			- download and install the code from our [https://gitlab.com.agrineer repository] and exercise the command line versions of GDC and SME. Learn the processing stream on a local platform to get familiar with the model. You do not need to generate data as it can be downloaded. Moderate Linux navigation skills are required.

			- inspect, in detail, parts of the model code that are of interest to you and look for improvements. For example, look at the [https://gitlab.com/agrineer/eto ETo] code and improve on relative humidity calculations, or you could implement crop coefficients using smooth curves, instead of discrete steps. There are many aspects of the implementation stream that are interesting and improvable. This type of explore gives a student an in depth understanding of modelling. Python/NumPy programming skills are required.

			- compile and compare aspects of predicted and sensed data for local areas, eg. How close is historical WRF modelled rain to measured rain in your pixel (area)? Many components can be compared that would be available with regular weather sensors, such as relative humidity and wind speed.

			- graduate endeavours could include long term studies to compare sensed soil moisture to different SME outputs with various parameters, ie.crop coefficients, soil descriptions, etc.

			- become the administrator for data contribution for a sector. See below.

	== I do not see a sector defined that I am interested in. Can I generate data for that sector? ==		== I do not see a sector defined that I am interested in. Can I generate data for that sector? ==

	Yes.		Yes.

	We currently cover only half of the western US and invite data contributions from third parties. We have released a Docker file package for container implementation of the data generation, ~~whereby~~ necessary code is automatically downloaded and bundled for use. All software is free. This requires a Docker friendly platform, with multi-core CPU, and of course somebody to maintain it (eg. check that data gets delivered, etc.). We have tested the container on a Linux platform, but not on Macs or Windows ~~yet~~. The computer does not need to be dedicated to generate the data, as only ~4hrs is used per sector per day. Docker claims it should work on Mac and Windows.		We currently cover only half of the western US and invite data contributions from third parties. We have released a Docker file package for container implementation of the data generation, where necessary code is automatically downloaded and bundled for use. All software is free. This requires a Docker friendly platform, with multi-core CPU, and of course somebody to maintain it (eg. check that data gets delivered, etc.). We have tested the container on a Linux platform, but not yet on Macs or Windows. The computer does not need to be dedicated to generate the data, as only ~4hrs is used per sector per day. Docker claims it should work on Mac and Windows.

	== How do I setup the input files for the SME tool? ==		== How do I setup the input files for the SME tool? ==