Solar Radiation - Science topic

Thanks for your recommendation

I want to estimate daily potential evapotranspiration using the Penman-Monteith formula. My weather station measures temperature, humidity, wind speed, light intensity, and UV every 15 minutes, but it does not have a pyranometer. Is it possible to use artificial intelligence algorithms to find a correlation between light intensity and solar radiation? Currently, I have a pyranometer to generate datasets, but in the future, is it possible to estimate ETp without using a pyranometer?

What is the best technique to convert sunshine hours to solar radiation?

I want to use penman simplified version for my research, how can I obtain the RA?

In ANSYS Fluent, which radiation model is most suitable for accurately simulating the behavior of solar radiation in the context of concentrated solar power systems, such as linear Fresnel systems: p1, S2S, Monte Carlo, Discrete Ordinates (DO), or DTRM?

I am studying polyethylene heat absorbing systems. For example, modeling heat exchanges in a solar air heater and temperatures for melting polyethylene.

August ( 6.29 ( kWh / m2 / day )

Automated irrigation scheduling is a critical component of precision agriculture, enhancing water use efficiency, crop yield, and resource management. In recent years, advancements in technology have provided farmers with sophisticated tools to optimize irrigation practices. Here's a review of concepts and the latest recommendations in technology for automated irrigation scheduling:

Concept:-Soil moisture sensors measure the water content in the soil and provide real-time data.

Latest Recommendations:- Advances include wireless sensor networks and IoT integration. Smart irrigation controllers use this data to automate watering schedules, ensuring optimal soil moisture levels.

Concept:-Incorporating weather data helps adjust irrigation schedules based on current and forecasted weather conditions.

Latest Recommendations:-Advanced systems integrate local weather stations and use machine learning algorithms to predict future weather patterns. This allows for more accurate and timely adjustments to irrigation schedules.

Concept:- Crop coefficients are used to adjust irrigation schedules based on crop type and growth stage.

Latest Recommendations:-

Modern systems utilize satellite imagery and remote sensing technology to monitor crop conditions and growth stages. This data is then integrated into irrigation scheduling algorithms for precise water management.

Modern systems utilize satellite imagery and remote sensing technology to monitor crop conditions and growth stages. This data is then integrated into irrigation scheduling algorithms for precise water management.Modern systems utilize satellite imagery and remote sensing technology to monitor crop conditions and growth stages. This data is then integrated into irrigation scheduling algorithms for precise water management.

Concept:- ET-based scheduling calculates the water needs of crops based on factors like temperature, humidity, wind, and solar radiation.

Latest Recommendations:- Integration with on-site weather stations and satellite-based ET data enhances accuracy. Automated controllers use this information to adapt irrigation schedules dynamically.

Concept:- Decision support systems integrate various data sources to provide actionable insights for irrigation management.

Latest Recommendations:- Artificial intelligence and machine learning algorithms are increasingly being employed to analyze large datasets. These systems provide farmers with real-time recommendations for irrigation scheduling based on historical data, current conditions, and future predictions.Latest Recommendations:- Artificial intelligence and machine learning algorithms are increasingly being employed to analyze large datasets. These systems provide farmers with real-time recommendations for irrigation scheduling based on historical data, current conditions, and future predictions.

Concept:- Farmers can monitor and control irrigation systems remotely through mobile applications or web interfaces.

Latest Recommendations:- Advances include the use of Internet of Things (IoT) devices, allowing for seamless connectivity and real-time control. This facilitates quick adjustments to irrigation schedules based on changing conditions.

Concept:- Drones and satellites provide high-resolution imagery to monitor crop health and identify areas that require additional irrigation.

Latest Recommendations:- Machine learning algorithms process imagery data to detect stress levels in crops. This information is then used to fine-tune irrigation schedules and ensure targeted water application.

Concept:-Automated irrigation systems are integrated into broader smart farming platforms for comprehensive farm management.

Latest Recommendations:-Integration with precision agriculture platforms enables farmers to combine data from multiple sources, including soil sensors, weather stations, and crop monitoring tools, for holistic decision-making.

In conclusion, the latest advancements in technology for automated irrigation scheduling focus on precision, real-time data integration, and intelligent decision-making. As these technologies continue to evolve, farmers can expect even more sophisticated tools to enhance water use efficiency and optimize crop yields.

i wanna make a coupling analysis of FLIM(heat transfer with environment) and DFLUX(solar radiate) subroutine. but after the analysis, there is a unexpected mistake in my showed picture. the gray one is the output from the coupling analysis, the blue one is the output from the analysis only under FILM subroutine. could anyone do me a favor????

i will upload the .cae and the .for...

Hi all,

I am looking for a glass material that has high transmissivity that allows as much solar radiation in as possible, whilst minimising the amount of long wave radiation that can leave the glass. Could anyone recommend a glass type or a link to where I can find such charts or data for these kind of glasses.

Thank you

Hello, so I am trying to find out if this formula is true and if it can help calculate the power output of a PV system in one day.

P = A * r * H * PR * (1 + a * (T - T0))

where:

Thank you

a continuously generated (date based) controlled climate data including temperature, Relative humidity, and solar radiation. A relevant insight or script for a crop growth model

I read in an article that " The correlations used in solar radiation model are based on ASHRAE, H.C. Hottel, and S.C.S.G models." Anyone knows what does S.C.S.G stand for?

Note: I am asking about GSR data not a GHI (global horizontal Irradiance).

Am dealing with solar radiation modeling. I want to model a clear sky. Can some one help me find with the difference between solar radiation modification factor, cloud modification factor and clearness index?

Hello everyone, I need solar radiation data for my research for Nepal, monthly. Can anyone suggest me the source?

Thank you

I want to quantify GPP (Gross Primary Production) over a region that needs certain levels of datasets to calculate. so I required Solar radiation data at monthly scale from 2000 to 2020

I have collected solar radiation data in units of MJ/m2. However, I would like to convert this data to Photosynthetic Photon Flux Density (PPFD) to better understand its impact on photosynthesis and plant growth. Could someone please guide me on how to perform this conversion?

I understand that PPFD is typically measured in units of micromoles per square meter per second (μmol/m2/s), which represents the number of photons in the photosynthetically active radiation (PAR) range received per unit area per unit of time. However, I am unsure about the conversion process from solar radiation expressed in MJ/m2 to PPFD.

Any insights, equations, or references related to the conversion of solar radiation data in MJ/m2 to PPFD in μmol/m2/s would be highly valuable.

Thanks in advance, and I look forward to learning from the knowledgeable members of the ResearchGate community.

I have some monthly averaged data of surface solar radiation downwards (SSRD) measured in J/m^2 from the ERA5 dataset (ECMWF - European Centre for Medium-Range Weather Forecasts).

How can I convert these to global horizontal irradiance (GHI) in kWh/m^2/day?

I am planning a study which will require long term humidity and temperature monitoring within 60+ tree canopies. I have identified the EasyLog USB Dataloggers as being the only affordable outdoor dataloggers suitable for this purpose. I was hoping that some other researchers have used these dataloggers for long term outdoor use, and can advise me on whether or not these devices are suitable to be left outside for long periods. As I will be recording temperatures in British temperate forest so they will be exposed to plenty of rain and solar radiation.

Continuation of discussion of 2018 -see attached archive file:

(27) Agroglyphes - are they natural or of artificial origin_.pdf

Hi,

I'm working with ERA5-Land dataset to prepare a climate database.

I have a question: I use surface solar radiation downwards as incident radiation and I need to have a hourly value expressed in MJ/m^2.

Need I to make some conversion?

For example a value of ssrd is 25331172.25703081 it seems too high respect to value measured in the same zone with a meteo station (e. g. 17.6724).

Is there something wrog?

Thanks for your help.

PS: in the pic my dataframe with the data of interest.

I am running urban scenarios predicted to 2060 in Envi-met. I increased air temperature according to climate change predictions (such as IPCC) and I would like to know if the solar radiation would change too or just the air temperature?

Best regards

After entering the values of maximum and minimum temperatures, humidity, wind speed, sunshine hours, latitude, longitude and the altitude of a location, how is the calculation for the solar radiation made by CROPWAT?

I have missing data in my dataset. I am plotting a graph for global solar radiation received in a day . I expect a bell shaped curve but data cannot give it to me since it is not complete. What should i do? I am using Python

I would like to do modeling and simulation of a salinity gradient solar pond in Ansys. Can anyone give me a guide on how to go about making udf for solar radiation and the other properties of this work ?

thanks.

The mirror wall is used to reflect the solar radiation to another surface

In TRNSYS simulation, how can we input weather data?

I obtained my weather data including ambient air temperature, RH, and horizontal outside solar radiation. However, it is difficult to understand the connection between components.

I mean the connection between building, weather and solar radiation components.

I have a paper in solar radiation and solar energy and i need to puplish it in scopus journal.any one can help me how to find the best journal.

the 70% of solar radiation go to whrer?

Hello, I have downloaded weather data from the SWAT site for the calculation of the water balance of the basin. I got 35 stations for my specific watershed area. Now, these weather files for 35 weather stations have precipitation values, max and min temp values, R. Hum, solar radiation and wind speed values. For one weather station, I have all these data in one excel sheet for the entire time period that I selected. That way, I have altogether 35 files. Do I really need weather inputs from these 35 weather stations? Tell me how should I edit these files for my region for each parameter in one file to use as input files becoz it will be very tedious to arrange one after another station data in a single file for the entire time period. Please suggest to me what should I follow.

I want to estimate the hourly electricity production of concentrated solar power systems that include storage. Input data will be the installed power and solar radiation

can anyone help?

thanks

Hello!

Eco-exergy is an indicator that can be used to quantify ecosystem equilibrium. I would like to know how to calculate the eco-exergy in an ecosystem using remote sensing grided products such as EVI, LAI, GPP, and FPAR, along with solar radiation (incoming and outgoing) information.

Thank you!

Best,

Aravinda