added gitignore and updated readme with text from website

.gitignore

@@ -0,0 +1,59 @@
+# Compiled Object files
+*.slo
+*.lo
+*.o
+*.obj
+*.ko
+*.elf
+
+# Precompiled Headers
+*.gch
+*.pch
+
+# Compiled Dynamic libraries
+*.so
+*.dylib
+*.dll
+*.so.*
+*.mexw32
+*.mexw64
+
+# Fortran module files
+*.mod
+
+# Compiled Static libraries
+*.lai
+*.la
+*.a
+*.lib
+*.lo
+
+# Debug files
+*.dSYM/
+*.pdb
+
+# Visual Studio Files
+*.exp
+*.mainfest
+*.suo
+*.sln
+*.u2d
+BuildLog.htm
+
+# Executables
+*.exe
+*.app
+*.app
+*.i*86
+*.x86_64
+*.hex
+
+*.zip
+*.tar.gz
+*.tar
+
+# NWTC web developer
+/ArcFiles.txt
+/SourceFiles.txt
+/ArcWin.txt
+/Archive.bat

README.md

@@ -1 +1,20 @@
-# FAST.Farm
+# FAST.Farm
+
+**theory** by Jason Jonkman, Ph.D.
+
+**source code** by Greg Hayman, Bonnie Jonkman, and Avi Purkayastha
+
+National Wind Technology Center
+
+
+---
+
+
+FAST.Farm is a multi-physics engineering tool for predicting the performance and loads of wind turbines within a wind farm. 
+FAST.Farm uses FAST to solve the aero-hydro-servo-elastic dynamics of an individual turbine, but adds additional physics for wind 
+farm-wide ambient wind in the atmospheric boundary layer; a wind-farm super controller; and wake deficits, advection, deflection, 
+meandering, and merging. FAST.Farm is based on the principles of the Dynamic Wake Meandering (DWM) model—including passive tracer 
+modeling of wake meandering—but addresses many of the limitations of previous DWM limitations. While a high-performance computer 
+is required to model a complete wind farm, FAST.Farm maintains computational efficiency to support iterative and probabilistic design. 
+Applications of FAST.Farm include reducing wind farm underperformance and loads uncertainty, developing wind farm controls to enhance 
+operation, optimizing wind farm siting and topology, and innovating the design of wind turbines for the wind-farm environment.