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I am using Modelbuilder to calculate several rasters with different parameters for each grid cell. One of the final steps is to calculate the log of one of the rasters using Raster calculator. Unfortunately, I get the error at that last final step:
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I can imagine that one of the reasons is that the arrow to the "raster calculator" is not solid. But I dont know why. The rasters derived from the previous step are fine. When using raster calculator outside modelbuilder to do that last step, all works fine. I am a bit at a loss here.
A dotted line means the output is acting as a precondition to the tool. So in your model f%value%_D must exist (thus the Euclidean Distance tool ran without error) before the Raster calculator can execute.
You can keep the inline variable in the output file, but rename the green node within model builder to something without an in line variable. In raster calculator, instead of referencing the file name, reference the name of the green node. In doing this, you maintain all your desired file names (with their in line variables), but raster calculator will just call them up in a way that doesn't break it.
[...] a calculator has a well-defined, well-scoped set of use cases, a well-defined, well-scoped user interface, and a set of well-understood and expected behaviors that occur in response to manipulations of that interface.
Caution: Photovoltaic system performance predictions calculated by PVWatts include many inherent assumptions and uncertainties and do not reflect variations between PV technologies nor site-specific characteristics except as represented by PVWatts inputs. For example, PV modules with better performance are not differentiated within PVWatts from lesser performing modules. Both NREL and private companies provide more sophisticated PV modeling tools (such as the System Advisor Model at //sam.nrel.gov) that allow for more precise and complex modeling of PV systems.
The default system losses percentage is appropriate for most typical photovoltaic systems. If you want to change the value, you can either type a different value, or use the system losses calculator to calculate a value based on the system losses percentage categories described below.
STS is excited to announce the launch of its next-generation Risk Calculator to assess risk of operative mortality, major morbidity, and short-term outcomes after the vast majority of adult cardiac surgeries. This new mobile-friendly calculator features a simplified, intuitive user design to improve physician-patient decision-making.
STS is reviewing its practice of making adult cardiac surgery risk model coefficients and intercepts available to investigators. We are unable to facilitate requests for risk model information at this time.
Procedures: A multivariable model was developed with preoperative clinical data obtained retrospectively from the records of 422 dogs that underwent splenectomy. Inclusion criteria were the availability of complete abdominal ultrasonographic examination images and splenic histologic slides or histology reports for review. Variables considered potentially predictive of splenic malignancy were analyzed. A receiver operating characteristic curve was created for the final multivariable model, and area under the curve was calculated. The model was externally validated with data from 100 dogs that underwent splenectomy subsequent to model development and was used to create an online calculator to estimate probability of splenic malignancy in individual dogs.
Conclusions and clinical relevance: The online calculator (T-STAT.net or T-STAT.org) developed in this study can be used as an aid to estimate the probability of malignancy in dogs with splenic masses and has potential to facilitate owners' decisions regarding splenectomy.
OPPT uses aquatic models to estimate chemical concentrations in fish tissue, surface water, porewater and sediment. These estimated concentrations are used to assess exposure to aquatic organisms, humans, and the environment. One of the models that OPPT uses to estimate chemical concentrations in water column, porewater, and sediment from point sources is the Point Source Calculator Version 1.05 (PSC v1.05).
PSC v1.05 is a user interface that processes input and output for the Variable Volume Water Model (VVWM). PSC was named to reflect that it will mainly be used to assess releases from an effluent pipe of a waste water treatment plant or direct industrial discharger (point source). PSC assesses partitioning and degradation in the modeled environment to estimate water column, porewater and sediment concentrations of the chemical. PSC v1.05 requires physicochemical parameters of the chemical of concern (sorption coefficient or Koc), mass releases per day of the chemical of concern and characterization of the receiving water body (flow rate and weather data). The model generates an output file with water, porewater and sediment concentrations of the chemical each day in the modeled environment as well as average values over different time periods to compare to hazard values.
If your usage of the TUV calculator is high-volume (greater than 100 requests per day),we suggest that youdownload the TUV FORTRAN codeand build an executable to perform the calculations locally on your own computer.
A map scale calculator can help you to measure distances on a map by providing you with the scale and the distance in real units. You can also use this calculator to convert from one scale to another. For example, 10 cm on a map corresponds to four meters in reality. You can also use this calculator to determine the scale of a building.
The scale converter is an useful tool for model railroaders, because it helps you translate the size of your model to the size of the real world. With its help, you can easily convert your model to the correct size for your railroad layout. It even allows you to convert fractions of an inch to the correct scale. This tool will help you with converting between metric and imperial measurements.
This web calculator facilitates application of the dynamic prediction model presented in the manuscript Eichinger S, Heinze G, Kyrle P, "D-Dimer levels over time and the risk of recurrent venous thromboembolism: An update of the Vienna Prediction Model", J Am Heart Assoc 2014;3:e000467; doi: 10.1161/JAHA.113.000467 . Users are urged to read the disclaimer carefully. Our prediction model estimates the probability of a recurrent VTE based on sex, location of primary VTE and D-Dimer level, where the prediction may be performed at arbitrary time points up to 24 months after discontinuation of anticoagulation. The most recent D-Dimer level should be used for prediction.
The primary benefits of demand-side resources are the avoided costs related to generation and distribution of energy. The avoided costs of electricity are modeled based on the following components: generation energy, generation capacity, ancillary services, transmission and distribution capacity, greenhouse gases, and high global warming potential gases. The Avoided Cost Calculator is updated biannually to improve the accuracy of how benefits of demand-side resources are calculated. The most recent update was completed in 2022:
In a recent study, Patrick Villanova of Smart Asset assessed how much a single adult with no children would need to live comfortably in the 25 largest US metro areas. Using data from the MIT Living Wage calculator, Villanova found that St. L...
Your calculator will be inspected prior to the start of the exam. After inspection, you will be asked to clear the memory from your calculator. Use or possession of an unauthorized calculator during the administration of the exam will result in your exam results being voided. Failure by the proctors to detect an unauthorized calculator prior to the start of the exam, or your possession and/or use of an unauthorized calculator at any time during the exam, does not imply you are in compliance with the calculator policy.
If you have a calculator with characters that are one inch or higher, or if your calculator has a raised display that might be visible to other test-takers, you will be seated at the discretion of the test coordinator.
The purpose of this tutorial is to show how the new parameter expression calculator can be used to estimate model parameters using either physical characteristics of subbasins or readily available GIS datasets. The new parameter expression calculator option is available from a few of the global parameter editors, including the Clark and S-Graph transform editors and the Deficit and Constant and Green and Ampt loss editors. The parameter expression calculator will be added to other global editors for future software releases. The parameter expression calculator will compute subbasin average parameter values from raster datasets (parameter grids). The program uses the zonal statics GIS function to compute subbasin average parameter values when raster datasets are used.
The area modeled in this tutorial is part of the Coyote Creek watershed in Northern California. See the following tutorial for information about the watershed - Comparing HEC-HMS Discretization and Transform Options. In summary, an HEC-HMS model was developed for part of the Coyote Creek watershed, the upper 109 square miles. Observed precipitation and flow data were available to calibrate the model. For this tutorial, the subbasin elements were configured to use the Green and Ampt loss method, the Clark transform method, and the Linear Reservoir baseflow method. As described below, the parameter expression calculator was used to estimate some of the Clark transform and Green and Ampt loss parameters.
Soil and landuse GIS datasets were used to estimate the Green and Ampt parameters. After the GIS datasets were gathered, they were re-projected into a consistent projection (the same projection set in the HEC-HMS basin model). The parameter expression calculator in HEC-HMS works with raster datasets (HEC-HMS parameter grids). Therefore, vector landuse and soil GIS data must be converted to raster datasets. A separate raster dataset was created for each parameter, moisture deficit, saturated hydraulic conductivity, wetting front suction, and percent impervious area. There are many GIS datasets available and methods for processing them. The following is one method to created the needed parameter grids in a format that can be used within HEC-HMS.
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